Dataset Name: Arabic Handwritten Characters Dataset
Basic Description: Arabic Handwritten Characters Data-set
π FULL DATASET DESCRIPTION:
==================================
β’ A. El-Sawy, M. Loey, and H. EL-Bakry, βArabic handwritten characters recognition using convolutional neural network,β WSEAS Transactions on Computer Research, vol. 5, pp. 11β19, 2017.
https://doi.org/10.1007/978-3-319-48308-5_54
https://link.springer.com/chapter/10.1007/978-3-319-48308-5_54
β’ A. El-Sawy, H. EL-Bakry, and M. Loey, βCNN for handwritten arabic digits recognition based on lenet-5,β in Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016, vol. 533, pp. 566β575, Springer International Publishing, 2016.
https://www.wseas.org/multimedia/journals/computerresearch/2017/a045818-075.php
https://arxiv.org/abs/1706.06720
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (25 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mloey1/ahcd1
π Additional information:
==================================
Total files: 16,800
Views: 128,000
Downloads: 17,100
π RELATED NOTEBOOKS:
==================================
1. Automated feature selection with sklearn | Upvotes: 198
URL: https://www.kaggle.com/code/residentmario/automated-feature-selection-with-sklearn
2. Arabic MNIST with detection | Upvotes: 152
URL: https://www.kaggle.com/code/yehyachali/arabic-mnist-with-detection
3. Understanding Convolutional Neural Network | Upvotes: 101
URL: https://www.kaggle.com/code/bbloggsbott/understanding-convolutional-neural-network
4. Arabic-Handwritten-Chars | Upvotes: 12
URL: https://www.kaggle.com/datasets/rashwan/arabic-chars-mnist
5. Handwritten Isolated English Character Dataset | Upvotes: 3
URL: https://www.kaggle.com/datasets/fayed02/handwritten-isolated-english-character-dataset
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Arabic Handwritten Characters Data-set
π FULL DATASET DESCRIPTION:
==================================
β’ A. El-Sawy, M. Loey, and H. EL-Bakry, βArabic handwritten characters recognition using convolutional neural network,β WSEAS Transactions on Computer Research, vol. 5, pp. 11β19, 2017.
https://doi.org/10.1007/978-3-319-48308-5_54
https://link.springer.com/chapter/10.1007/978-3-319-48308-5_54
β’ A. El-Sawy, H. EL-Bakry, and M. Loey, βCNN for handwritten arabic digits recognition based on lenet-5,β in Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016, vol. 533, pp. 566β575, Springer International Publishing, 2016.
https://www.wseas.org/multimedia/journals/computerresearch/2017/a045818-075.php
https://arxiv.org/abs/1706.06720
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (25 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mloey1/ahcd1
π Additional information:
==================================
Total files: 16,800
Views: 128,000
Downloads: 17,100
π RELATED NOTEBOOKS:
==================================
1. Automated feature selection with sklearn | Upvotes: 198
URL: https://www.kaggle.com/code/residentmario/automated-feature-selection-with-sklearn
2. Arabic MNIST with detection | Upvotes: 152
URL: https://www.kaggle.com/code/yehyachali/arabic-mnist-with-detection
3. Understanding Convolutional Neural Network | Upvotes: 101
URL: https://www.kaggle.com/code/bbloggsbott/understanding-convolutional-neural-network
4. Arabic-Handwritten-Chars | Upvotes: 12
URL: https://www.kaggle.com/datasets/rashwan/arabic-chars-mnist
5. Handwritten Isolated English Character Dataset | Upvotes: 3
URL: https://www.kaggle.com/datasets/fayed02/handwritten-isolated-english-character-dataset
==================================
βοΈ By: https://t.me/datasets1
β€5
Dataset Name: Turkey and Syria Earthquake Tweets
Basic Description: Tweets about the recent earthquake in Turkey and Syria
π FULL DATASET DESCRIPTION:
==================================
This dataset contains tweets related to the earthquake that struck Turkey and Syria on Feb 6, 2023. The dataset includes the text of each tweet, the user profile information, the time and location of each tweet, and the number of likes, retweets, and replies for each tweet. The dataset also includes any hashtags, mentions, and links used in the tweets. This dataset provides a snapshot of the conversation about the natural disaster and its impact on the region in real-time. By analyzing the content of the tweets, researchers can gain a better understanding of the public's reaction to the event and the way it was reported and discussed on social media.
DATASET ARCHIVED
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (53 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/swaptr/turkey-earthquake-tweets
π Additional information:
==================================
File count not found
Views: 14,400
Downloads: 1,748
π RELATED NOTEBOOKS:
==================================
1. Turkey Earthquake Tweets | NLP + DTC | Upvotes: 64
URL: https://www.kaggle.com/code/sujithmandala/turkey-earthquake-tweets-nlp-dtc
2. Tweet Classification(Machine Learning) | Upvotes: 63
URL: https://www.kaggle.com/code/sachinpatil1280/tweet-classification-machine-learning
3. Turkey Earthquake Tweets | Upvotes: 36
URL: https://www.kaggle.com/datasets/gpreda/turkey-earthquake-tweets
4. EDA_Turkey_and_Syria_Earthquake π | Upvotes: 34
URL: https://www.kaggle.com/code/yassinabdulmahdi/eda-turkey-and-syria-earthquake
5. Turkey-Syria Earthquake Tweets | Upvotes: 4
URL: https://www.kaggle.com/datasets/mrrahulroy/turkey-syria-earthquake-tweets
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Tweets about the recent earthquake in Turkey and Syria
π FULL DATASET DESCRIPTION:
==================================
This dataset contains tweets related to the earthquake that struck Turkey and Syria on Feb 6, 2023. The dataset includes the text of each tweet, the user profile information, the time and location of each tweet, and the number of likes, retweets, and replies for each tweet. The dataset also includes any hashtags, mentions, and links used in the tweets. This dataset provides a snapshot of the conversation about the natural disaster and its impact on the region in real-time. By analyzing the content of the tweets, researchers can gain a better understanding of the public's reaction to the event and the way it was reported and discussed on social media.
DATASET ARCHIVED
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (53 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/swaptr/turkey-earthquake-tweets
π Additional information:
==================================
File count not found
Views: 14,400
Downloads: 1,748
π RELATED NOTEBOOKS:
==================================
1. Turkey Earthquake Tweets | NLP + DTC | Upvotes: 64
URL: https://www.kaggle.com/code/sujithmandala/turkey-earthquake-tweets-nlp-dtc
2. Tweet Classification(Machine Learning) | Upvotes: 63
URL: https://www.kaggle.com/code/sachinpatil1280/tweet-classification-machine-learning
3. Turkey Earthquake Tweets | Upvotes: 36
URL: https://www.kaggle.com/datasets/gpreda/turkey-earthquake-tweets
4. EDA_Turkey_and_Syria_Earthquake π | Upvotes: 34
URL: https://www.kaggle.com/code/yassinabdulmahdi/eda-turkey-and-syria-earthquake
5. Turkey-Syria Earthquake Tweets | Upvotes: 4
URL: https://www.kaggle.com/datasets/mrrahulroy/turkey-syria-earthquake-tweets
==================================
βοΈ By: https://t.me/datasets1
β€2
Dataset Name: Hand Gesture Recognition Database
Basic Description: Acquired by Leap Motion
π FULL DATASET DESCRIPTION:
==================================
Hand gesture recognition database is presented, composed by a set of near infrared images acquired by the Leap Motion sensor.
The database is composed by 10 different hand-gestures (showed above) that were performed by 10 different subjects (5 men and 5 women).
The database is structured in different folders as:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (2 GB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/gti-upm/leapgestrecog
π Additional information:
==================================
Total files: 20,000
Views: 255,000
Downloads: 35,200
π RELATED NOTEBOOKS:
==================================
1. Hand Gesture Recognition Database with CNN | Upvotes: 1,022
URL: https://www.kaggle.com/code/benenharrington/hand-gesture-recognition-database-with-cnn
2. [keras] Hand Gesture Recognition CNN | Upvotes: 492
URL: https://www.kaggle.com/code/kageyama/keras-hand-gesture-recognition-cnn
3. 100% in Hand Gesture Recognition | Upvotes: 245
URL: https://www.kaggle.com/code/mohamedgobara/100-in-hand-gesture-recognition
4. Multi-Modal Dataset for Hand Gesture Recognition | Upvotes: 49
URL: https://www.kaggle.com/datasets/gti-upm/multimodhandgestrec
5. Hand Gesture Recognition Dataset | Upvotes: 8
URL: https://www.kaggle.com/datasets/tapakah68/hand-gesture-recognition-dataset
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Acquired by Leap Motion
π FULL DATASET DESCRIPTION:
==================================
Hand gesture recognition database is presented, composed by a set of near infrared images acquired by the Leap Motion sensor.
The database is composed by 10 different hand-gestures (showed above) that were performed by 10 different subjects (5 men and 5 women).
The database is structured in different folders as:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (2 GB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/gti-upm/leapgestrecog
π Additional information:
==================================
Total files: 20,000
Views: 255,000
Downloads: 35,200
π RELATED NOTEBOOKS:
==================================
1. Hand Gesture Recognition Database with CNN | Upvotes: 1,022
URL: https://www.kaggle.com/code/benenharrington/hand-gesture-recognition-database-with-cnn
2. [keras] Hand Gesture Recognition CNN | Upvotes: 492
URL: https://www.kaggle.com/code/kageyama/keras-hand-gesture-recognition-cnn
3. 100% in Hand Gesture Recognition | Upvotes: 245
URL: https://www.kaggle.com/code/mohamedgobara/100-in-hand-gesture-recognition
4. Multi-Modal Dataset for Hand Gesture Recognition | Upvotes: 49
URL: https://www.kaggle.com/datasets/gti-upm/multimodhandgestrec
5. Hand Gesture Recognition Dataset | Upvotes: 8
URL: https://www.kaggle.com/datasets/tapakah68/hand-gesture-recognition-dataset
==================================
βοΈ By: https://t.me/datasets1
β€5
Dataset Name: E-commerce Product Images
Basic Description: Over 2900 apparel and footwear product images with meta data
π FULL DATASET DESCRIPTION:
==================================
Product images provide a better first impression. According to a survey, more than 63 percent of consumers say that good product images are more important than product descriptions. For an e-commerce platform, good quality product images are instrumental in convincing shoppers to buy. Product images can help shoppers to get a better virtual βfeelβ about the product and engage on a deeper level.
Collection of over 2900 product images under Apparel and Footwear category. Two gender types Boys and Girls under Apparel, similarly Men and Women under Footwear. Each image is identified by an unique ID(ProductId) like 10054. fashion.csv contains additional details about the products like title, description, category, gender etc.
The dataset can be used for multiple purpose like -
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (351 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/vikashrajluhaniwal/fashion-images
π Additional information:
==================================
File count not found
Views: 55,500
Downloads: 7,149
π RELATED NOTEBOOKS:
==================================
1. Fashion Product Images (Small) | Upvotes: 414
URL: https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-small
2. Building Visual Similarity based Recommendation | Upvotes: 118
URL: https://www.kaggle.com/code/vikashrajluhaniwal/building-visual-similarity-based-recommendation
3. Myntra Fashion Product Dataset | Upvotes: 47
URL: https://www.kaggle.com/datasets/hiteshsuthar101/myntra-fashion-product-dataset
4. Computer vision with PyTorch | Upvotes: 35
URL: https://www.kaggle.com/code/aleksandrmorozov123/computer-vision-with-pytorch
5. Image Representations for Similarity Search | Upvotes: 29
URL: https://www.kaggle.com/code/palealex/image-representations-for-similarity-search
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Over 2900 apparel and footwear product images with meta data
π FULL DATASET DESCRIPTION:
==================================
Product images provide a better first impression. According to a survey, more than 63 percent of consumers say that good product images are more important than product descriptions. For an e-commerce platform, good quality product images are instrumental in convincing shoppers to buy. Product images can help shoppers to get a better virtual βfeelβ about the product and engage on a deeper level.
Collection of over 2900 product images under Apparel and Footwear category. Two gender types Boys and Girls under Apparel, similarly Men and Women under Footwear. Each image is identified by an unique ID(ProductId) like 10054. fashion.csv contains additional details about the products like title, description, category, gender etc.
The dataset can be used for multiple purpose like -
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (351 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/vikashrajluhaniwal/fashion-images
π Additional information:
==================================
File count not found
Views: 55,500
Downloads: 7,149
π RELATED NOTEBOOKS:
==================================
1. Fashion Product Images (Small) | Upvotes: 414
URL: https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-small
2. Building Visual Similarity based Recommendation | Upvotes: 118
URL: https://www.kaggle.com/code/vikashrajluhaniwal/building-visual-similarity-based-recommendation
3. Myntra Fashion Product Dataset | Upvotes: 47
URL: https://www.kaggle.com/datasets/hiteshsuthar101/myntra-fashion-product-dataset
4. Computer vision with PyTorch | Upvotes: 35
URL: https://www.kaggle.com/code/aleksandrmorozov123/computer-vision-with-pytorch
5. Image Representations for Similarity Search | Upvotes: 29
URL: https://www.kaggle.com/code/palealex/image-representations-for-similarity-search
==================================
βοΈ By: https://t.me/datasets1
β€3
Dataset Name: Fish Detection (Labelled)
Basic Description: Description not found
π FULL DATASET DESCRIPTION:
==================================
The Fish Species Detection Dataset is an expertly curated collection designed for developing and testing object detection models focused on identifying various fish species. With this dataset, researchers and developers can leverage advanced computer vision techniques to classify fish in diverse aquatic environments.
The dataset consists of a total of 8,242 annotated images categorized into thirteen distinct fish species:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (359 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/zehraatlgan/fish-detection
π Additional information:
==================================
Total files: 16,500
Views: 1,562
Downloads: 302
π RELATED NOTEBOOKS:
==================================
1. Fish Detection with YOLO11 | Upvotes: 108
URL: https://www.kaggle.com/code/zehraatlgan/fish-detection-with-yolo11
2. πππFish Species Image Data | Upvotes: 85
URL: https://www.kaggle.com/datasets/sripaadsrinivasan/fish-species-image-data
3. Deep Fish Object Detection | Upvotes: 81
URL: https://www.kaggle.com/datasets/vencerlanz09/deep-fish-object-detection
4. Fish Dataset | Upvotes: 7
URL: https://www.kaggle.com/datasets/mahmoodyousaf/fish-dataset
5. fish detection yolov8 | Upvotes: 4
URL: https://www.kaggle.com/code/myriamgam62/fish-detection-yolov8
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Description not found
π FULL DATASET DESCRIPTION:
==================================
The Fish Species Detection Dataset is an expertly curated collection designed for developing and testing object detection models focused on identifying various fish species. With this dataset, researchers and developers can leverage advanced computer vision techniques to classify fish in diverse aquatic environments.
The dataset consists of a total of 8,242 annotated images categorized into thirteen distinct fish species:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (359 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/zehraatlgan/fish-detection
π Additional information:
==================================
Total files: 16,500
Views: 1,562
Downloads: 302
π RELATED NOTEBOOKS:
==================================
1. Fish Detection with YOLO11 | Upvotes: 108
URL: https://www.kaggle.com/code/zehraatlgan/fish-detection-with-yolo11
2. πππFish Species Image Data | Upvotes: 85
URL: https://www.kaggle.com/datasets/sripaadsrinivasan/fish-species-image-data
3. Deep Fish Object Detection | Upvotes: 81
URL: https://www.kaggle.com/datasets/vencerlanz09/deep-fish-object-detection
4. Fish Dataset | Upvotes: 7
URL: https://www.kaggle.com/datasets/mahmoodyousaf/fish-dataset
5. fish detection yolov8 | Upvotes: 4
URL: https://www.kaggle.com/code/myriamgam62/fish-detection-yolov8
==================================
βοΈ By: https://t.me/datasets1
β€2
Forwarded from Machine Learning with Python
5 minutes of work - 127,000$ profit!
Opened access to the Jay Welcome Club where the AI bot does all the work itselfπ»
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Opened access to the Jay Welcome Club where the AI bot does all the work itselfπ»
Usually you pay crazy money to get into this club, but today access is free for everyone!
23,432% on deposit earned by club members in the last 6 monthsπ
Just follow Jay's trades and earn! π
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π₯2β€1
Dataset Name: +7000 Dress Style Image [Resized 640 * 640]
Basic Description: The dataset includes 7238 images.
π FULL DATASET DESCRIPTION:
==================================
The following pre-processing was applied to each image:
The following augmentation was applied to create 3 versions of each source image:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (468 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/ahmadrafiee/7000-dress-style-image-resized-640-640
π Additional information:
==================================
File count not found
Views: 1,272
Downloads: 167
π RELATED NOTEBOOKS:
==================================
1. MobileNetV2.0: Dress Style Image | Upvotes: 17
URL: https://www.kaggle.com/code/saswattulo/mobilenetv2-0-dress-style-image
2. F1 > 0.98 Dress Style Image Classification PyTorch | Upvotes: 10
URL: https://www.kaggle.com/code/killa92/f1-0-98-dress-style-image-classification-pytorch
3. Fashion-Class-dataset | Upvotes: 6
URL: https://www.kaggle.com/datasets/marvellouscreations/fashion-class-dataset
4. stylish_wheat | Upvotes: 1
URL: https://www.kaggle.com/datasets/dvorobiev/stylish-wheat
5. Licence Plate Dataset | Upvotes: 1
URL: https://www.kaggle.com/datasets/channingfisher/licence-plate-dataset
==================================
βοΈ By: https://t.me/datasets1
Basic Description: The dataset includes 7238 images.
π FULL DATASET DESCRIPTION:
==================================
The following pre-processing was applied to each image:
The following augmentation was applied to create 3 versions of each source image:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (468 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/ahmadrafiee/7000-dress-style-image-resized-640-640
π Additional information:
==================================
File count not found
Views: 1,272
Downloads: 167
π RELATED NOTEBOOKS:
==================================
1. MobileNetV2.0: Dress Style Image | Upvotes: 17
URL: https://www.kaggle.com/code/saswattulo/mobilenetv2-0-dress-style-image
2. F1 > 0.98 Dress Style Image Classification PyTorch | Upvotes: 10
URL: https://www.kaggle.com/code/killa92/f1-0-98-dress-style-image-classification-pytorch
3. Fashion-Class-dataset | Upvotes: 6
URL: https://www.kaggle.com/datasets/marvellouscreations/fashion-class-dataset
4. stylish_wheat | Upvotes: 1
URL: https://www.kaggle.com/datasets/dvorobiev/stylish-wheat
5. Licence Plate Dataset | Upvotes: 1
URL: https://www.kaggle.com/datasets/channingfisher/licence-plate-dataset
==================================
βοΈ By: https://t.me/datasets1
β€5
Dataset Name: Brain MRI segmentation
Basic Description: Brain MRI images together with manual FLAIR abnormality segmentation masks
π FULL DATASET DESCRIPTION:
==================================
Dataset used in:
Mateusz Buda, AshirbaniSaha, Maciej A. Mazurowski "Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm." Computers in Biology and Medicine, 2019.
and
Maciej A. Mazurowski, Kal Clark, Nicholas M. Czarnek, Parisa Shamsesfandabadi, Katherine B. Peters, Ashirbani Saha "Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The Cancer Genome Atlas data." Journal of Neuro-Oncology, 2017.
This dataset contains brain MR images together with manual FLAIR abnormality segmentation masks. The images were obtained from The Cancer Imaging Archive (TCIA). They correspond to 110 patients included in The Cancer Genome Atlas (TCGA) lower-grade glioma collection with at least fluid-attenuated inversion recovery (FLAIR) sequence and genomic cluster data available. Tumor genomic clusters and patient data is provided in data.csv file. For more information on genomic data, refer to the publication "Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas" and supplementary material available at https://www.nejm.org/doi/full/10.1056/NEJMoa1402121
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (749 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mateuszbuda/lgg-mri-segmentation
π Additional information:
==================================
File count not found
Views: 557,000
Downloads: 85,200
π RELATED NOTEBOOKS:
==================================
1. Brain MRI | Data Visualization | UNet | FPN | Upvotes: 878
URL: https://www.kaggle.com/code/bonhart/brain-mri-data-visualization-unet-fpn
2. Brain Tumor Segmentation | UNet | Dice coef: 89.6% | Upvotes: 748
URL: https://www.kaggle.com/code/abdallahwagih/brain-tumor-segmentation-unet-dice-coef-89-6
3. Brain MRI Segmentation| Using Unet | Keras | Upvotes: 725
URL: https://www.kaggle.com/code/monkira/brain-mri-segmentation-using-unet-keras
4. Brain Tumor Segmentation | Upvotes: 166
URL: https://www.kaggle.com/datasets/andrewmvd/brain-tumor-segmentation-in-mri-brats-2015
5. Figshare Brain Tumor Dataset | Upvotes: 19
URL: https://www.kaggle.com/datasets/ashkhagan/figshare-brain-tumor-dataset
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Brain MRI images together with manual FLAIR abnormality segmentation masks
π FULL DATASET DESCRIPTION:
==================================
Dataset used in:
Mateusz Buda, AshirbaniSaha, Maciej A. Mazurowski "Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm." Computers in Biology and Medicine, 2019.
and
Maciej A. Mazurowski, Kal Clark, Nicholas M. Czarnek, Parisa Shamsesfandabadi, Katherine B. Peters, Ashirbani Saha "Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The Cancer Genome Atlas data." Journal of Neuro-Oncology, 2017.
This dataset contains brain MR images together with manual FLAIR abnormality segmentation masks. The images were obtained from The Cancer Imaging Archive (TCIA). They correspond to 110 patients included in The Cancer Genome Atlas (TCGA) lower-grade glioma collection with at least fluid-attenuated inversion recovery (FLAIR) sequence and genomic cluster data available. Tumor genomic clusters and patient data is provided in data.csv file. For more information on genomic data, refer to the publication "Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas" and supplementary material available at https://www.nejm.org/doi/full/10.1056/NEJMoa1402121
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (749 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mateuszbuda/lgg-mri-segmentation
π Additional information:
==================================
File count not found
Views: 557,000
Downloads: 85,200
π RELATED NOTEBOOKS:
==================================
1. Brain MRI | Data Visualization | UNet | FPN | Upvotes: 878
URL: https://www.kaggle.com/code/bonhart/brain-mri-data-visualization-unet-fpn
2. Brain Tumor Segmentation | UNet | Dice coef: 89.6% | Upvotes: 748
URL: https://www.kaggle.com/code/abdallahwagih/brain-tumor-segmentation-unet-dice-coef-89-6
3. Brain MRI Segmentation| Using Unet | Keras | Upvotes: 725
URL: https://www.kaggle.com/code/monkira/brain-mri-segmentation-using-unet-keras
4. Brain Tumor Segmentation | Upvotes: 166
URL: https://www.kaggle.com/datasets/andrewmvd/brain-tumor-segmentation-in-mri-brats-2015
5. Figshare Brain Tumor Dataset | Upvotes: 19
URL: https://www.kaggle.com/datasets/ashkhagan/figshare-brain-tumor-dataset
==================================
βοΈ By: https://t.me/datasets1
β€1
Dataset Name: Annotated Skin
Basic Description: Annotated body parts of Men and Women
π FULL DATASET DESCRIPTION:
==================================
This dataset was built for a pet project. We tried to annotate it with different objects to make it as reusable as possible. Feel free to ask any questions.
Contains:
The Men and Women folder further contain:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (729 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/muhammadmdurrani/annotated-skin
π Additional information:
==================================
File count not found
Views: 5,579
Downloads: 369
π RELATED NOTEBOOKS:
==================================
1. Human Images Dataset - Men and Women | Upvotes: 65
URL: https://www.kaggle.com/datasets/snmahsa/human-images-dataset-men-and-women
2. skin_parts_visualized | Upvotes: 8
URL: https://www.kaggle.com/code/peterfriedrich1/skin-parts-visualized
3. Starter: Annotated Skin cefa0707-5 | Upvotes: 1
URL: https://www.kaggle.com/code/kerneler/starter-annotated-skin-cefa0707-5
4. Multi-Races Human Body Semantic Segmentation Data | Upvotes: 0
URL: https://www.kaggle.com/datasets/nexdatafrank/multi-races-human-body-semantic-segmentation-data
5. Segmentation and Key Points of Human Body | Upvotes: 0
URL: https://www.kaggle.com/datasets/maadaaai/segmentation-and-key-points-of-human-body
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Annotated body parts of Men and Women
π FULL DATASET DESCRIPTION:
==================================
This dataset was built for a pet project. We tried to annotate it with different objects to make it as reusable as possible. Feel free to ask any questions.
Contains:
The Men and Women folder further contain:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (729 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/muhammadmdurrani/annotated-skin
π Additional information:
==================================
File count not found
Views: 5,579
Downloads: 369
π RELATED NOTEBOOKS:
==================================
1. Human Images Dataset - Men and Women | Upvotes: 65
URL: https://www.kaggle.com/datasets/snmahsa/human-images-dataset-men-and-women
2. skin_parts_visualized | Upvotes: 8
URL: https://www.kaggle.com/code/peterfriedrich1/skin-parts-visualized
3. Starter: Annotated Skin cefa0707-5 | Upvotes: 1
URL: https://www.kaggle.com/code/kerneler/starter-annotated-skin-cefa0707-5
4. Multi-Races Human Body Semantic Segmentation Data | Upvotes: 0
URL: https://www.kaggle.com/datasets/nexdatafrank/multi-races-human-body-semantic-segmentation-data
5. Segmentation and Key Points of Human Body | Upvotes: 0
URL: https://www.kaggle.com/datasets/maadaaai/segmentation-and-key-points-of-human-body
==================================
βοΈ By: https://t.me/datasets1
β€2
Dataset Name: Gender Recognizer
Basic Description: Gender Classification Dataset
π FULL DATASET DESCRIPTION:
==================================
This dataset contains a total of 2000 images, with an equal distribution of 1000 images of men and 1000 images of women. Each individual is depicted wearing a white t-shirt. The images are standardized to a resolution of 512x512 pixels.
This dataset is ideal for tasks such as:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (670 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/anthonytherrien/gender-recognizer
π Additional information:
==================================
File count not found
Views: 933
Downloads: 157
π RELATED NOTEBOOKS:
==================================
1. Men/Women Classification | Upvotes: 132
URL: https://www.kaggle.com/datasets/playlist/men-women-classification
2. Biggest gender/face recognition dataset. | Upvotes: 77
URL: https://www.kaggle.com/datasets/maciejgronczynski/biggest-genderface-recognition-dataset
3. π Gender Classification with CNN π | Upvotes: 7
URL: https://www.kaggle.com/code/anthonytherrien/gender-classification-with-cnn
4. π Gender Classification with ResNet18 π | Upvotes: 7
URL: https://www.kaggle.com/code/anthonytherrien/gender-classification-with-resnet18
5. Gender Recognizer Lightning 2024 | Upvotes: 5
URL: https://www.kaggle.com/code/stpeteishii/gender-recognizer-lightning-2024
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Gender Classification Dataset
π FULL DATASET DESCRIPTION:
==================================
This dataset contains a total of 2000 images, with an equal distribution of 1000 images of men and 1000 images of women. Each individual is depicted wearing a white t-shirt. The images are standardized to a resolution of 512x512 pixels.
This dataset is ideal for tasks such as:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (670 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/anthonytherrien/gender-recognizer
π Additional information:
==================================
File count not found
Views: 933
Downloads: 157
π RELATED NOTEBOOKS:
==================================
1. Men/Women Classification | Upvotes: 132
URL: https://www.kaggle.com/datasets/playlist/men-women-classification
2. Biggest gender/face recognition dataset. | Upvotes: 77
URL: https://www.kaggle.com/datasets/maciejgronczynski/biggest-genderface-recognition-dataset
3. π Gender Classification with CNN π | Upvotes: 7
URL: https://www.kaggle.com/code/anthonytherrien/gender-classification-with-cnn
4. π Gender Classification with ResNet18 π | Upvotes: 7
URL: https://www.kaggle.com/code/anthonytherrien/gender-classification-with-resnet18
5. Gender Recognizer Lightning 2024 | Upvotes: 5
URL: https://www.kaggle.com/code/stpeteishii/gender-recognizer-lightning-2024
==================================
βοΈ By: https://t.me/datasets1
β€4
Dataset Name: Preprocessed IXI MRI
Basic Description: Preprocessed T1 MRI with Skull-Stripping, Tissue Segmentation, and Jacobian Maps
π FULL DATASET DESCRIPTION:
==================================
This dataset consists of preprocessed T1-weighted MRI images from the IXI dataset, focused on gray matter (GM) and white matter (WM) segmentation. The images were processed using the CAT12 toolbox within the SPM software (MATLAB) for skull stripping, registration to the MNI standard space, and tissue segmentation. Additionally, Jacobian maps for each MRI scan are provided, which reflect local volume changes after the registration step.
Data Content: Gray Matter (GM): Segmented gray matter maps for each subject. Files: mwp1.nii (processed gray matter images). White Matter (WM): Segmented white matter maps for each subject. Files: mwp2.nii (processed white matter images). Jacobian Maps: A representation of local volume changes (deformation) after the MRI images have been registered to the MNI standard. Files: wj.nii (Jacobian maps for each MRI scan). Registered and Skull-Stripped MRI: The images have been skull-stripped and registered to the MNI standard space using CAT12. Files: wm.nii (registered and skull-stripped MRI images). Preprocessing Details: Skull Stripping: The brain was extracted from the surrounding skull and non-brain tissues. Registration to MNI Standard: Each subject's MRI was registered to the Montreal Neurological Institute (MNI) standard template for spatial normalization. Segmentation: Gray matter and white matter regions were segmented from the MRI scans. Jacobian Mapping: The Jacobian maps show the local volume differences between the original and the normalized images. Use Cases: This dataset is suitable for researchers working on neuroimaging analysis, particularly those focused on:
Brain tissue segmentation (gray matter and white matter). Structural MRI preprocessing workflows. Registration and skull stripping. Jacobian mapping for investigating structural deformations or changes. Source: The MRI images were sourced from the , a publicly available collection of T1-weighted MR scans.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (5 GB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/hamedamin/preprocessed-oasis-and-epilepsy-and-ixi
π Additional information:
==================================
File count not found
Views: 634
Downloads: 97
π RELATED NOTEBOOKS:
==================================
1. Brain MRI Dataset for Tumor Detection and Analysis | Upvotes: 32
URL: https://www.kaggle.com/datasets/sudipde25/mri-dataset-for-detection-and-analysis
2. Brain Tumor MRI Classification Dataset | Upvotes: 9
URL: https://www.kaggle.com/datasets/theiturhs/brain-tumor-mri-classification-dataset
3. Load_preprocessed_IXI_MRI | Upvotes: 4
URL: https://www.kaggle.com/code/hamedamin/load-preprocessed-ixi-mri
4. ibsr - brain tissue segmentation dataset | Upvotes: 1
URL: https://www.kaggle.com/datasets/rishukumaroo7/ibsr-brain-tissue-segmentation-dataset
5. Dataset MR-MS | Upvotes: 0
URL: https://www.kaggle.com/datasets/blossom1994/dataset-mr-ms
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Preprocessed T1 MRI with Skull-Stripping, Tissue Segmentation, and Jacobian Maps
π FULL DATASET DESCRIPTION:
==================================
This dataset consists of preprocessed T1-weighted MRI images from the IXI dataset, focused on gray matter (GM) and white matter (WM) segmentation. The images were processed using the CAT12 toolbox within the SPM software (MATLAB) for skull stripping, registration to the MNI standard space, and tissue segmentation. Additionally, Jacobian maps for each MRI scan are provided, which reflect local volume changes after the registration step.
Data Content: Gray Matter (GM): Segmented gray matter maps for each subject. Files: mwp1.nii (processed gray matter images). White Matter (WM): Segmented white matter maps for each subject. Files: mwp2.nii (processed white matter images). Jacobian Maps: A representation of local volume changes (deformation) after the MRI images have been registered to the MNI standard. Files: wj.nii (Jacobian maps for each MRI scan). Registered and Skull-Stripped MRI: The images have been skull-stripped and registered to the MNI standard space using CAT12. Files: wm.nii (registered and skull-stripped MRI images). Preprocessing Details: Skull Stripping: The brain was extracted from the surrounding skull and non-brain tissues. Registration to MNI Standard: Each subject's MRI was registered to the Montreal Neurological Institute (MNI) standard template for spatial normalization. Segmentation: Gray matter and white matter regions were segmented from the MRI scans. Jacobian Mapping: The Jacobian maps show the local volume differences between the original and the normalized images. Use Cases: This dataset is suitable for researchers working on neuroimaging analysis, particularly those focused on:
Brain tissue segmentation (gray matter and white matter). Structural MRI preprocessing workflows. Registration and skull stripping. Jacobian mapping for investigating structural deformations or changes. Source: The MRI images were sourced from the , a publicly available collection of T1-weighted MR scans.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (5 GB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/hamedamin/preprocessed-oasis-and-epilepsy-and-ixi
π Additional information:
==================================
File count not found
Views: 634
Downloads: 97
π RELATED NOTEBOOKS:
==================================
1. Brain MRI Dataset for Tumor Detection and Analysis | Upvotes: 32
URL: https://www.kaggle.com/datasets/sudipde25/mri-dataset-for-detection-and-analysis
2. Brain Tumor MRI Classification Dataset | Upvotes: 9
URL: https://www.kaggle.com/datasets/theiturhs/brain-tumor-mri-classification-dataset
3. Load_preprocessed_IXI_MRI | Upvotes: 4
URL: https://www.kaggle.com/code/hamedamin/load-preprocessed-ixi-mri
4. ibsr - brain tissue segmentation dataset | Upvotes: 1
URL: https://www.kaggle.com/datasets/rishukumaroo7/ibsr-brain-tissue-segmentation-dataset
5. Dataset MR-MS | Upvotes: 0
URL: https://www.kaggle.com/datasets/blossom1994/dataset-mr-ms
==================================
βοΈ By: https://t.me/datasets1
β€3
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Dataset Name: Face Attributes Extra
Basic Description: Eyeglasses | Sunglasses | Facemask | Facial Hair
π FULL DATASET DESCRIPTION:
==================================
The dataset contains images of people's faces grouped by certain attributes. It is an extension of the original Face Attributes Grouped dataset that contains left-over images for some categories.
The following attribute groups are available:
The following attribute "anti-groups" are available:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (679 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mantasu/face-attributes-extra
π Additional information:
==================================
Total files: 10,300
Views: 1,341
Downloads: 176
π RELATED NOTEBOOKS:
==================================
1. Face Mask Detection Dataset - 500 GB of data | Upvotes: 46
URL: https://www.kaggle.com/datasets/tapakah68/medical-masks-part1
2. Makeup Detection Face Dataset | Upvotes: 14
URL: https://www.kaggle.com/datasets/tapakah68/makeup-detection-dataset
3. Face Attributes Tagger | Upvotes: 13
URL: https://www.kaggle.com/code/mantasu/face-attributes-tagger
4. Facial Attribute Classification Dataset | Upvotes: 12
URL: https://www.kaggle.com/datasets/trainingdatapro/facial-hair-classification-dataset
5. Four Binary Classification Datasets of Faces | Upvotes: 7
URL: https://www.kaggle.com/datasets/owlxiaoliu/four-binary-classification-datasets-of-faces
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Eyeglasses | Sunglasses | Facemask | Facial Hair
π FULL DATASET DESCRIPTION:
==================================
The dataset contains images of people's faces grouped by certain attributes. It is an extension of the original Face Attributes Grouped dataset that contains left-over images for some categories.
The following attribute groups are available:
The following attribute "anti-groups" are available:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (679 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mantasu/face-attributes-extra
π Additional information:
==================================
Total files: 10,300
Views: 1,341
Downloads: 176
π RELATED NOTEBOOKS:
==================================
1. Face Mask Detection Dataset - 500 GB of data | Upvotes: 46
URL: https://www.kaggle.com/datasets/tapakah68/medical-masks-part1
2. Makeup Detection Face Dataset | Upvotes: 14
URL: https://www.kaggle.com/datasets/tapakah68/makeup-detection-dataset
3. Face Attributes Tagger | Upvotes: 13
URL: https://www.kaggle.com/code/mantasu/face-attributes-tagger
4. Facial Attribute Classification Dataset | Upvotes: 12
URL: https://www.kaggle.com/datasets/trainingdatapro/facial-hair-classification-dataset
5. Four Binary Classification Datasets of Faces | Upvotes: 7
URL: https://www.kaggle.com/datasets/owlxiaoliu/four-binary-classification-datasets-of-faces
==================================
βοΈ By: https://t.me/datasets1
β€5
Dataset Name: Face Dataset - Segmentation
Basic Description: 17 classes semantic segmentation with visualisations of people's faces.
π FULL DATASET DESCRIPTION:
==================================
An example of a dataset that we've collected for a photo edit App. The dataset includes 20 selfies of people (man and women) in segmentation masks and their visualisations.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (44 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/tapakah68/face-segmentation
π Additional information:
==================================
File count not found
Views: 6,804
Downloads: 594
π RELATED NOTEBOOKS:
==================================
1. Human Segmentation MADS Dataset, 1192 images | Upvotes: 82
URL: https://www.kaggle.com/datasets/tapakah68/segmentation-full-body-mads-dataset
2. Face Detection - Face Recognition Dataset | Upvotes: 15
URL: https://www.kaggle.com/datasets/trainingdatapro/face-detection-photos-and-labels
3. Human Faces Augmentation - Face Dataset | Upvotes: 11
URL: https://www.kaggle.com/datasets/trainingdatapro/human-faces-augmentation-image-restoration
4. Hair Detection & Segmentation Dataset | Upvotes: 8
URL: https://www.kaggle.com/datasets/trainingdatapro/hair-detection-and-segmentation-dataset
5. notebook29df41bc43 | Upvotes: 4
URL: https://www.kaggle.com/code/xopcxopcob/notebook29df41bc43
==================================
βοΈ By: https://t.me/datasets1
Basic Description: 17 classes semantic segmentation with visualisations of people's faces.
π FULL DATASET DESCRIPTION:
==================================
An example of a dataset that we've collected for a photo edit App. The dataset includes 20 selfies of people (man and women) in segmentation masks and their visualisations.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (44 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/tapakah68/face-segmentation
π Additional information:
==================================
File count not found
Views: 6,804
Downloads: 594
π RELATED NOTEBOOKS:
==================================
1. Human Segmentation MADS Dataset, 1192 images | Upvotes: 82
URL: https://www.kaggle.com/datasets/tapakah68/segmentation-full-body-mads-dataset
2. Face Detection - Face Recognition Dataset | Upvotes: 15
URL: https://www.kaggle.com/datasets/trainingdatapro/face-detection-photos-and-labels
3. Human Faces Augmentation - Face Dataset | Upvotes: 11
URL: https://www.kaggle.com/datasets/trainingdatapro/human-faces-augmentation-image-restoration
4. Hair Detection & Segmentation Dataset | Upvotes: 8
URL: https://www.kaggle.com/datasets/trainingdatapro/hair-detection-and-segmentation-dataset
5. notebook29df41bc43 | Upvotes: 4
URL: https://www.kaggle.com/code/xopcxopcob/notebook29df41bc43
==================================
βοΈ By: https://t.me/datasets1
β€2
Dataset Name: Emo GIF: Emotional Support Detection
Basic Description: EmoGIF: Emotional Support Detection
π FULL DATASET DESCRIPTION:
==================================
The rapid expansion of social media has increased interest in visual content analysis, particularly for identifying offensive material. This study addresses the less-explored area of positive content in multimodal formats like GIFs by introducing an annotated dataset "EmoGIF" focused to provide emotional support specific to women.
For more information and citation, refer this paper: "EmoGif: A Multimodal Approach to Detect Emotional Support in Animated GIFs" DOI: https://doi.org/10.1109/TCSS.2025.3544263
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (2 GB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/aakash941/emogif-emotional-support-detection
π Additional information:
==================================
File count not found
Views: 189
Downloads: 18
π RELATED NOTEBOOKS:
==================================
1. Female_Image_Dataset | Upvotes: 15
URL: https://www.kaggle.com/datasets/nazishjaveed/female-image-dataset
2. multimodal-sentiment-data | Upvotes: 9
URL: https://www.kaggle.com/datasets/suraj520/multimodal-sentiment-data
3. EmoCNN: Emotion Recognition Dataset | Upvotes: 1
URL: https://www.kaggle.com/datasets/olegimegi/emotionimages
4. Emotion detaction | Upvotes: 0
URL: https://www.kaggle.com/datasets/hamadurrehman98/emotion-detaction
==================================
βοΈ By: https://t.me/datasets1
Basic Description: EmoGIF: Emotional Support Detection
π FULL DATASET DESCRIPTION:
==================================
The rapid expansion of social media has increased interest in visual content analysis, particularly for identifying offensive material. This study addresses the less-explored area of positive content in multimodal formats like GIFs by introducing an annotated dataset "EmoGIF" focused to provide emotional support specific to women.
For more information and citation, refer this paper: "EmoGif: A Multimodal Approach to Detect Emotional Support in Animated GIFs" DOI: https://doi.org/10.1109/TCSS.2025.3544263
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (2 GB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/aakash941/emogif-emotional-support-detection
π Additional information:
==================================
File count not found
Views: 189
Downloads: 18
π RELATED NOTEBOOKS:
==================================
1. Female_Image_Dataset | Upvotes: 15
URL: https://www.kaggle.com/datasets/nazishjaveed/female-image-dataset
2. multimodal-sentiment-data | Upvotes: 9
URL: https://www.kaggle.com/datasets/suraj520/multimodal-sentiment-data
3. EmoCNN: Emotion Recognition Dataset | Upvotes: 1
URL: https://www.kaggle.com/datasets/olegimegi/emotionimages
4. Emotion detaction | Upvotes: 0
URL: https://www.kaggle.com/datasets/hamadurrehman98/emotion-detaction
==================================
βοΈ By: https://t.me/datasets1
β€3
Dataset Name: Malaria Cell Images Dataset
Basic Description: Cell Images for Detecting Malaria
π FULL DATASET DESCRIPTION:
==================================
The dataset contains 2 folders
This Dataset is taken from the official NIH Website: https://ceb.nlm.nih.gov/repositories/malaria-datasets/ And uploaded here, so anybody trying to start working with this dataset can get started immediately, as to download the dataset from NIH website is quite slow. Photo by ΠΠ³ΠΎΡ ΠΠ°ΠΌΠ΅Π»Π΅Π² on Unsplash https://unsplash.com/@ekamelev
Save humans by detecting and deploying Image Cells that contain Malaria or not!
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (708 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/iarunava/cell-images-for-detecting-malaria
π Additional information:
==================================
Total files: 27,600
Views: 412,000
Downloads: 69,300
π RELATED NOTEBOOKS:
==================================
1. Detecting Malaria | CNN | Upvotes: 568
URL: https://www.kaggle.com/code/kushal1996/detecting-malaria-cnn
2. Malaria Detection with FastAI V2 | Upvotes: 382
URL: https://www.kaggle.com/code/ingbiodanielh/malaria-detection-with-fastai-v2
3. Malaria Cell Image Classification with CNN 96% Acc | Upvotes: 365
URL: https://www.kaggle.com/code/krutarthhd/malaria-cell-image-classification-with-cnn-96-acc
4. Malerial Cell Classification Dataset | Upvotes: 9
URL: https://www.kaggle.com/datasets/itsdaniyal/malerial-cell-classification-dataset
5. BioImage Informatics II Malaria Dataset | Upvotes: 3
URL: https://www.kaggle.com/datasets/junelsolis/bioimage-informatics-ii-malaria-dataset
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Cell Images for Detecting Malaria
π FULL DATASET DESCRIPTION:
==================================
The dataset contains 2 folders
This Dataset is taken from the official NIH Website: https://ceb.nlm.nih.gov/repositories/malaria-datasets/ And uploaded here, so anybody trying to start working with this dataset can get started immediately, as to download the dataset from NIH website is quite slow. Photo by ΠΠ³ΠΎΡ ΠΠ°ΠΌΠ΅Π»Π΅Π² on Unsplash https://unsplash.com/@ekamelev
Save humans by detecting and deploying Image Cells that contain Malaria or not!
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (708 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/iarunava/cell-images-for-detecting-malaria
π Additional information:
==================================
Total files: 27,600
Views: 412,000
Downloads: 69,300
π RELATED NOTEBOOKS:
==================================
1. Detecting Malaria | CNN | Upvotes: 568
URL: https://www.kaggle.com/code/kushal1996/detecting-malaria-cnn
2. Malaria Detection with FastAI V2 | Upvotes: 382
URL: https://www.kaggle.com/code/ingbiodanielh/malaria-detection-with-fastai-v2
3. Malaria Cell Image Classification with CNN 96% Acc | Upvotes: 365
URL: https://www.kaggle.com/code/krutarthhd/malaria-cell-image-classification-with-cnn-96-acc
4. Malerial Cell Classification Dataset | Upvotes: 9
URL: https://www.kaggle.com/datasets/itsdaniyal/malerial-cell-classification-dataset
5. BioImage Informatics II Malaria Dataset | Upvotes: 3
URL: https://www.kaggle.com/datasets/junelsolis/bioimage-informatics-ii-malaria-dataset
==================================
βοΈ By: https://t.me/datasets1
β€5
Dataset Name: Water Quality
Basic Description: Drinking water potability
π FULL DATASET DESCRIPTION:
==================================
Access to safe drinking-water is essential to health, a basic human right and a component of effective policy for health protection. This is important as a health and development issue at a national, regional and local level. In some regions, it has been shown that investments in water supply and sanitation can yield a net economic benefit, since the reductions in adverse health effects and health care costs outweigh the costs of undertaking the interventions.
The water_potability.csv file contains water quality metrics for 3276 different water bodies.
PH is an important parameter in evaluating the acidβbase balance of water. It is also the indicator of acidic or alkaline condition of water status. WHO has recommended maximum permissible limit of pH from 6.5 to 8.5. The current investigation ranges were 6.52β6.83 which are in the range of WHO standards.
Hardness is mainly caused by calcium and magnesium salts. These salts are dissolved from geologic deposits through which water travels. The length of time water is in contact with hardness producing material helps determine how much hardness there is in raw water. Hardness was originally defined as the capacity of water to precipitate soap caused by Calcium and Magnesium.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (257 kB)
π° Direct dataset download link:
URL not found
π Additional information:
==================================
File count not found
Views: 652,000
Downloads: 108,000
π RELATED NOTEBOOKS:
==================================
1. π§ Water Quality: Analysis (Plotly) and Modelling | Upvotes: 883
URL: https://www.kaggle.com/code/jaykumar1607/water-quality-analysis-plotly-and-modelling
2. Water Quality Prediction ( 7 model ) | Upvotes: 776
URL: https://www.kaggle.com/code/imakash3011/water-quality-prediction-7-model
3. Water Quality prediction-76% & H2O-80% accuracy | Upvotes: 309
URL: https://www.kaggle.com/code/gcmadhan/water-quality-prediction-76-h2o-80-accuracy
4. Water Potability Dataset | Upvotes: 48
URL: https://www.kaggle.com/datasets/devanshibavaria/water-potability-dataset-with-10-parameteres
5. Water Quality | Upvotes: 26
URL: https://www.kaggle.com/datasets/sonialikhan/water-quality
==================================
π By: https://t.me/datasets1
Basic Description: Drinking water potability
π FULL DATASET DESCRIPTION:
==================================
Access to safe drinking-water is essential to health, a basic human right and a component of effective policy for health protection. This is important as a health and development issue at a national, regional and local level. In some regions, it has been shown that investments in water supply and sanitation can yield a net economic benefit, since the reductions in adverse health effects and health care costs outweigh the costs of undertaking the interventions.
The water_potability.csv file contains water quality metrics for 3276 different water bodies.
PH is an important parameter in evaluating the acidβbase balance of water. It is also the indicator of acidic or alkaline condition of water status. WHO has recommended maximum permissible limit of pH from 6.5 to 8.5. The current investigation ranges were 6.52β6.83 which are in the range of WHO standards.
Hardness is mainly caused by calcium and magnesium salts. These salts are dissolved from geologic deposits through which water travels. The length of time water is in contact with hardness producing material helps determine how much hardness there is in raw water. Hardness was originally defined as the capacity of water to precipitate soap caused by Calcium and Magnesium.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (257 kB)
π° Direct dataset download link:
URL not found
π Additional information:
==================================
File count not found
Views: 652,000
Downloads: 108,000
π RELATED NOTEBOOKS:
==================================
1. π§ Water Quality: Analysis (Plotly) and Modelling | Upvotes: 883
URL: https://www.kaggle.com/code/jaykumar1607/water-quality-analysis-plotly-and-modelling
2. Water Quality Prediction ( 7 model ) | Upvotes: 776
URL: https://www.kaggle.com/code/imakash3011/water-quality-prediction-7-model
3. Water Quality prediction-76% & H2O-80% accuracy | Upvotes: 309
URL: https://www.kaggle.com/code/gcmadhan/water-quality-prediction-76-h2o-80-accuracy
4. Water Potability Dataset | Upvotes: 48
URL: https://www.kaggle.com/datasets/devanshibavaria/water-potability-dataset-with-10-parameteres
5. Water Quality | Upvotes: 26
URL: https://www.kaggle.com/datasets/sonialikhan/water-quality
==================================
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π₯4β€3
Dataset Name: Fruit Detection Dataset
Basic Description: Multilabel Fruits Detection
π FULL DATASET DESCRIPTION:
==================================
The dataset includes 8479 images of 6 different fruits(Apple, Grapes, Pineapple, Orange, Banana, and Watermelon). Fruits are annotated in YOLOv8 format.
The following pre-processing was applied to each image:
The following augmentation was applied to create 3 versions of each source image:
The following transformations were applied to the bounding boxes of each image:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (525 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/lakshaytyagi01/fruit-detection
π Additional information:
==================================
Total files: 17,000
Views: 26,500
Downloads: 4,298
π RELATED NOTEBOOKS:
==================================
1. πππ YOLO-NAS ππ¨ Fruit Detection πππ | Upvotes: 163
URL: https://www.kaggle.com/code/harpdeci/yolo-nas-fruit-detection
2. K-Fold Cross Validation and YoloV8 | Upvotes: 58
URL: https://www.kaggle.com/code/tataganesh/k-fold-cross-validation-and-yolov8
3. Fruits_objectdetection ππ | Upvotes: 44
URL: https://www.kaggle.com/code/maryamayman20/fruits-objectdetection
4. Comprehensive Fruit Image Dataset | Upvotes: 13
URL: https://www.kaggle.com/datasets/evilspirit05/comprehensive-fruit-image-dataset
5. Fruit Infection Disease Dataset | Upvotes: 11
URL: https://www.kaggle.com/datasets/nikitkashyap/fruit-infection-disease-dataset
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Multilabel Fruits Detection
π FULL DATASET DESCRIPTION:
==================================
The dataset includes 8479 images of 6 different fruits(Apple, Grapes, Pineapple, Orange, Banana, and Watermelon). Fruits are annotated in YOLOv8 format.
The following pre-processing was applied to each image:
The following augmentation was applied to create 3 versions of each source image:
The following transformations were applied to the bounding boxes of each image:
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (525 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/lakshaytyagi01/fruit-detection
π Additional information:
==================================
Total files: 17,000
Views: 26,500
Downloads: 4,298
π RELATED NOTEBOOKS:
==================================
1. πππ YOLO-NAS ππ¨ Fruit Detection πππ | Upvotes: 163
URL: https://www.kaggle.com/code/harpdeci/yolo-nas-fruit-detection
2. K-Fold Cross Validation and YoloV8 | Upvotes: 58
URL: https://www.kaggle.com/code/tataganesh/k-fold-cross-validation-and-yolov8
3. Fruits_objectdetection ππ | Upvotes: 44
URL: https://www.kaggle.com/code/maryamayman20/fruits-objectdetection
4. Comprehensive Fruit Image Dataset | Upvotes: 13
URL: https://www.kaggle.com/datasets/evilspirit05/comprehensive-fruit-image-dataset
5. Fruit Infection Disease Dataset | Upvotes: 11
URL: https://www.kaggle.com/datasets/nikitkashyap/fruit-infection-disease-dataset
==================================
βοΈ By: https://t.me/datasets1
β€2π₯2
Dataset Name: regularization-images-woman
Basic Description: For use as class images when training a diffusion model on a specific woman
π FULL DATASET DESCRIPTION:
==================================
A blend of generated and creative commons photos. These images are publicly available and are meant to be used as regularization images when training a diffusion model. All images are squared with ratio 1:1 and 1024px sides.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (349 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/timothyalexisvass/regularization-images-woman
π Additional information:
==================================
File count not found
Views: 11,500
Downloads: 2,084
π RELATED NOTEBOOKS:
==================================
1. SDXL1.0 Kohya_SS Dreambooth Training LoRA | Upvotes: 982
URL: https://www.kaggle.com/code/timothyalexisvass/sdxl1-0-kohya-ss-dreambooth-training-lora
2. SDXL1.0 Kohya_SS Dreambooth Training LoRA 2 | Upvotes: 131
URL: https://www.kaggle.com/code/crischir/sdxl1-0-kohya-ss-dreambooth-training-lora-2
3. Stable ImageNet-1K | Upvotes: 46
URL: https://www.kaggle.com/datasets/vitaliykinakh/stable-imagenet1k
4. notebook-lora training | Upvotes: 37
URL: https://www.kaggle.com/code/samuelabatnehendalie/notebook-lora-training
5. regularization-images-man | Upvotes: 25
URL: https://www.kaggle.com/datasets/timothyalexisvass/regularization-images-man
==================================
βοΈ By: https://t.me/datasets1
Basic Description: For use as class images when training a diffusion model on a specific woman
π FULL DATASET DESCRIPTION:
==================================
A blend of generated and creative commons photos. These images are publicly available and are meant to be used as regularization images when training a diffusion model. All images are squared with ratio 1:1 and 1024px sides.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (349 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/timothyalexisvass/regularization-images-woman
π Additional information:
==================================
File count not found
Views: 11,500
Downloads: 2,084
π RELATED NOTEBOOKS:
==================================
1. SDXL1.0 Kohya_SS Dreambooth Training LoRA | Upvotes: 982
URL: https://www.kaggle.com/code/timothyalexisvass/sdxl1-0-kohya-ss-dreambooth-training-lora
2. SDXL1.0 Kohya_SS Dreambooth Training LoRA 2 | Upvotes: 131
URL: https://www.kaggle.com/code/crischir/sdxl1-0-kohya-ss-dreambooth-training-lora-2
3. Stable ImageNet-1K | Upvotes: 46
URL: https://www.kaggle.com/datasets/vitaliykinakh/stable-imagenet1k
4. notebook-lora training | Upvotes: 37
URL: https://www.kaggle.com/code/samuelabatnehendalie/notebook-lora-training
5. regularization-images-man | Upvotes: 25
URL: https://www.kaggle.com/datasets/timothyalexisvass/regularization-images-man
==================================
βοΈ By: https://t.me/datasets1
β€6
Dataset Name: A-Z Handwritten Alphabets in .csv format
Basic Description: 370000+ English Alphabets Image Data-set
π FULL DATASET DESCRIPTION:
==================================
For recognising handwritten forms, the very first step was to gather data in a considerable amount for training. Which I struggled to collect for weeks.
The dataset contains 26 folders (A-Z) containing handwritten images in size 2828 pixels, each alphabet in the image is centre fitted to 2020 pixel box.
Each image is stored as Gray-level
Kernel CSV_To_Images contains script to convert .CSV file to actual images in .png format in structured folder.
Note: Might contain some noisy image as well
The images are taken from NIST(https://www.nist.gov/srd/nist-special-database-19) and NMIST large dataset and few other sources which were then formatted as mentioned above.
The dataset would serve beginners in machine learning for there created a predictive model to recognise handwritten characters.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (194 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/sachinpatel21/az-handwritten-alphabets-in-csv-format
π Additional information:
==================================
File count not found
Views: 338,000
Downloads: 65,500
π RELATED NOTEBOOKS:
==================================
1. CNN for handwritten alphabets | Upvotes: 467
URL: https://www.kaggle.com/code/yairhadad1/cnn-for-handwritten-alphabets
2. Handwritten Character Recognition (Deep Learning) | Upvotes: 192
URL: https://www.kaggle.com/code/mohammadkumail/handwritten-character-recognition-deep-learning
3. A-Z Handwritten Alphabets accuracy : 98.2 | Upvotes: 185
URL: https://www.kaggle.com/code/abdalrahmanshahrour/a-z-handwritten-alphabets-accuracy-98-2
4. Handwritten A-Z | Upvotes: 45
URL: https://www.kaggle.com/datasets/ashishguptajiit/handwritten-az
5. Russian handwritten letters | Upvotes: 23
URL: https://www.kaggle.com/datasets/tatianasnwrt/russian-handwritten-letters
==================================
βοΈ By: https://t.me/datasets1
Basic Description: 370000+ English Alphabets Image Data-set
π FULL DATASET DESCRIPTION:
==================================
For recognising handwritten forms, the very first step was to gather data in a considerable amount for training. Which I struggled to collect for weeks.
The dataset contains 26 folders (A-Z) containing handwritten images in size 2828 pixels, each alphabet in the image is centre fitted to 2020 pixel box.
Each image is stored as Gray-level
Kernel CSV_To_Images contains script to convert .CSV file to actual images in .png format in structured folder.
Note: Might contain some noisy image as well
The images are taken from NIST(https://www.nist.gov/srd/nist-special-database-19) and NMIST large dataset and few other sources which were then formatted as mentioned above.
The dataset would serve beginners in machine learning for there created a predictive model to recognise handwritten characters.
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (194 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/sachinpatel21/az-handwritten-alphabets-in-csv-format
π Additional information:
==================================
File count not found
Views: 338,000
Downloads: 65,500
π RELATED NOTEBOOKS:
==================================
1. CNN for handwritten alphabets | Upvotes: 467
URL: https://www.kaggle.com/code/yairhadad1/cnn-for-handwritten-alphabets
2. Handwritten Character Recognition (Deep Learning) | Upvotes: 192
URL: https://www.kaggle.com/code/mohammadkumail/handwritten-character-recognition-deep-learning
3. A-Z Handwritten Alphabets accuracy : 98.2 | Upvotes: 185
URL: https://www.kaggle.com/code/abdalrahmanshahrour/a-z-handwritten-alphabets-accuracy-98-2
4. Handwritten A-Z | Upvotes: 45
URL: https://www.kaggle.com/datasets/ashishguptajiit/handwritten-az
5. Russian handwritten letters | Upvotes: 23
URL: https://www.kaggle.com/datasets/tatianasnwrt/russian-handwritten-letters
==================================
βοΈ By: https://t.me/datasets1
β€4
Dataset Name: skull-stripping
Basic Description: Description not found
π FULL DATASET DESCRIPTION:
==================================
No description available
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (67 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/ernestbeckham/skull-stripping
π Additional information:
==================================
File count not found
Views: 100
Downloads: 20
π RELATED NOTEBOOKS:
==================================
1. Skull Stripping | U-Net++ | Upvotes: 1
URL: https://www.kaggle.com/code/ernestbeckham/skull-stripping-u-net
2. skull-stripping | ResUNet | Upvotes: 0
URL: https://www.kaggle.com/code/ernestbeckham/skull-stripping-resunet
3. skull-stripping | Attention U-Net | Upvotes: 0
URL: https://www.kaggle.com/code/ernestbeckham/skull-stripping-attention-u-net
==================================
βοΈ By: https://t.me/datasets1
Basic Description: Description not found
π FULL DATASET DESCRIPTION:
==================================
No description available
π₯ DATASET DOWNLOAD INFORMATION
==================================
π΄ Dataset Size: Download dataset as zip (67 MB)
π° Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/ernestbeckham/skull-stripping
π Additional information:
==================================
File count not found
Views: 100
Downloads: 20
π RELATED NOTEBOOKS:
==================================
1. Skull Stripping | U-Net++ | Upvotes: 1
URL: https://www.kaggle.com/code/ernestbeckham/skull-stripping-u-net
2. skull-stripping | ResUNet | Upvotes: 0
URL: https://www.kaggle.com/code/ernestbeckham/skull-stripping-resunet
3. skull-stripping | Attention U-Net | Upvotes: 0
URL: https://www.kaggle.com/code/ernestbeckham/skull-stripping-attention-u-net
==================================
βοΈ By: https://t.me/datasets1
β€6