Dataset Name: +7000 Dress Style Image [Resized 640 * 640]
Basic Description: The dataset includes 7238 images.

📖 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:

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (468 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/ahmadrafiee/7000-dress-style-image-resized-640-640

📊 Additional information:
==================================
File count not found
Views: 1,272
Downloads: 167

📚 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Brain MRI segmentation
Basic Description: Brain MRI images together with manual FLAIR abnormality segmentation masks

📖 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

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (749 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mateuszbuda/lgg-mri-segmentation

📊 Additional information:
==================================
File count not found
Views: 557,000
Downloads: 85,200

📚 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Annotated Skin
Basic Description: Annotated body parts of Men and Women

📖 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:

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (729 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/muhammadmdurrani/annotated-skin

📊 Additional information:
==================================
File count not found
Views: 5,579
Downloads: 369

📚 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Gender Recognizer
Basic Description: Gender Classification Dataset

📖 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:

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (670 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/anthonytherrien/gender-recognizer

📊 Additional information:
==================================
File count not found
Views: 933
Downloads: 157

📚 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. 🔍 Gender Classification with CNN 🔍 | Upvotes: 7
URL: https://www.kaggle.com/code/anthonytherrien/gender-classification-with-cnn

4. 🔍 Gender Classification with ResNet18 🔍 | 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Preprocessed IXI MRI
Basic Description: Preprocessed T1 MRI with Skull-Stripping, Tissue Segmentation, and Jacobian Maps

📖 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.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (5 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/hamedamin/preprocessed-oasis-and-epilepsy-and-ixi

📊 Additional information:
==================================
File count not found
Views: 634
Downloads: 97

📚 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

==================================
⭐️ By: https://t.me/datasets1

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Dataset Name: Face Attributes Extra
Basic Description: Eyeglasses | Sunglasses | Facemask | Facial Hair

📖 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:

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (679 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mantasu/face-attributes-extra

📊 Additional information:
==================================
Total files: 10,300
Views: 1,341
Downloads: 176

📚 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Face Dataset - Segmentation
Basic Description: 17 classes semantic segmentation with visualisations of people's faces.

📖 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.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (44 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/tapakah68/face-segmentation

📊 Additional information:
==================================
File count not found
Views: 6,804
Downloads: 594

📚 RELATED NOTEBOOKS:
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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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Emo GIF: Emotional Support Detection
Basic Description: EmoGIF: Emotional Support Detection

📖 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

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (2 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/aakash941/emogif-emotional-support-detection

📊 Additional information:
==================================
File count not found
Views: 189
Downloads: 18

📚 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Malaria Cell Images Dataset
Basic Description: Cell Images for Detecting Malaria

📖 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 Егор Камелев on Unsplash https://unsplash.com/@ekamelev
Save humans by detecting and deploying Image Cells that contain Malaria or not!

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (708 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/iarunava/cell-images-for-detecting-malaria

📊 Additional information:
==================================
Total files: 27,600
Views: 412,000
Downloads: 69,300

📚 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Fruit Detection Dataset
Basic Description: Multilabel Fruits Detection

📖 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:

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (525 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/lakshaytyagi01/fruit-detection

📊 Additional information:
==================================
Total files: 17,000
Views: 26,500
Downloads: 4,298

📚 RELATED NOTEBOOKS:
==================================
1. 🍍🍌🍓 YOLO-NAS 🏎💨 Fruit Detection 🍇🍒🍊 | 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 🍍🍎 | 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: regularization-images-woman
Basic Description: For use as class images when training a diffusion model on a specific woman

📖 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.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (349 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/timothyalexisvass/regularization-images-woman

📊 Additional information:
==================================
File count not found
Views: 11,500
Downloads: 2,084

📚 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: A-Z Handwritten Alphabets in .csv format
Basic Description: 370000+ English Alphabets Image Data-set

📖 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.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (194 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/sachinpatel21/az-handwritten-alphabets-in-csv-format

📊 Additional information:
==================================
File count not found
Views: 338,000
Downloads: 65,500

📚 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: skull-stripping
Basic Description: Description not found

📖 FULL DATASET DESCRIPTION:
==================================
No description available

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (67 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/ernestbeckham/skull-stripping

📊 Additional information:
==================================
File count not found
Views: 100
Downloads: 20

📚 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

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Airlines Flights Data
Basic Description: Analyse Airlines' Flights Dataset with Python

📖 FULL DATASET DESCRIPTION:
==================================
The Flights Booking Dataset of various Airlines is a scraped datewise from a famous website in a structured format. The dataset contains the records of flight travel details between the cities in India. Here, multiple features are present like Source & Destination City, Arrival & Departure Time, Duration & Price of the flight etc.
This data is available as a CSV file. We are going to analyze this data set using the Pandas DataFrame.
This analyse will be helpful for those working in Airlines, Travel domain.
Using this dataset, we answered multiple questions with Python in our Project.
Q.1. What are the airlines in the dataset, accompanied by their frequencies?

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (2 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/rohitgrewal/airlines-flights-data

📊 Additional information:
==================================
File count not found
Views: 12,800
Downloads: 3,560

📚 RELATED NOTEBOOKS:
==================================
1. Flight Status Prediction | Upvotes: 265
URL: https://www.kaggle.com/datasets/robikscube/flight-delay-dataset-20182022

2. Flight Reservation Dataset | Upvotes: 28
URL: https://www.kaggle.com/datasets/ashishpandey2062/flight-reservation-dataset

3. Airlines Flights Data Analysis with Python - DSL | Upvotes: 27
URL: https://www.kaggle.com/code/rohitgrewal/airlines-flights-data-analysis-with-python-dsl

4. Airlines_flight_analysis_&_prediction | Upvotes: 8
URL: https://www.kaggle.com/code/roshan123kumar/airlines-flight-analysis-prediction

5. Airlines Flights Trainer | Upvotes: 7
URL: https://www.kaggle.com/code/anthonytherrien/airlines-flights-trainer

==================================
⭐️ By: https://t.me/datasets1

Dataset Name: Efficient Det Pytorch
Basic Description: A PyTorch impl of EfficientDet faithful to the original Google

📖 FULL DATASET DESCRIPTION:
==================================
EfficientDet (PyTorch) This is a work in progress PyTorch implementation of EfficientDet.
It is based on the
official Tensorflow implementation by Mingxing Tan and the Google Brain team paper by Mingxing Tan, Ruoming Pang, Quoc V. Le EfficientDet: Scalable and Efficient Object Detection I am aware there are other PyTorch implementations. Their approach didn't fit well with my aim to replicate the Tensorflow models closely enough to allow weight ports while still maintaining a PyTorch feel and a high degree of flexibility for future additions. So, this is built from scratch and leverages my previous EfficientNet work.
Updates / Tasks 2020-4-15 Taking a pause on training, some high priority things came up. There are signs of life on the training branch, was working the basic augs before priority switch, loss fn appeared to be doing something sane with distributed training working, no proper eval yet, init not correct yet. I will get to it, with SOTA training config and good performance as the end goal (as with my EfficientNet work).
2020-04-11 Cleanup post-processing. Less code and a five-fold throughput increase on the smaller models. D0 running > 130 img/s on a single 2080Ti, D1 > 130 img/s on dual 2080Ti up to D7 @ 8.5 img/s.
2020-04-10 Replace generate_detections with PyTorch impl using torchvision batched_nms. Significant performance increase with minor (+/-.001 mAP) score differences. Quite a bit faster than original TF impl on a GPU now.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (684 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mathurinache/efficientdet

📊 Additional information:
==================================
File count not found
Views: 16,400
Downloads: 4,023

📚 RELATED NOTEBOOKS:
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1. [Training] EfficientDet | Upvotes: 2,718
URL: https://www.kaggle.com/code/shonenkov/training-efficientdet

2. EfficientDet meets Pytorch Lightning | Upvotes: 214
URL: https://www.kaggle.com/code/yassinealouini/efficientdet-meets-pytorch-lightning

3. Train EfficientDet like Yolo V5 | Upvotes: 205
URL: https://www.kaggle.com/code/raininbox/train-efficientdet-like-yolo-v5

4. yolov7_weights | Upvotes: 42
URL: https://www.kaggle.com/datasets/parapapapam/yolov7-weights

5. EfficientNets TPU Weights | Upvotes: 10
URL: https://www.kaggle.com/datasets/xhlulu/efficientnets-weights

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⭐️ By: https://t.me/datasets1

Dataset Name: Students' Academic Performance Dataset
Basic Description: xAPI-Educational Mining Dataset

📖 FULL DATASET DESCRIPTION:
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Data Set Characteristics: Multivariate
Number of Instances: 480
Area: E-learning, Education, Predictive models, Educational Data Mining
Attribute Characteristics: Integer/Categorical
Number of Attributes: 16
Date: 2016-11-8
Associated Tasks: Classification
Missing Values? No
File formats: xAPI-Edu-Data.csv
Elaf Abu Amrieh, Thair Hamtini, and Ibrahim Aljarah, The University of Jordan, Amman, Jordan, http://www.Ibrahimaljarah.com

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (6 kB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/aljarah/xAPI-Edu-Data

📊 Additional information:
==================================
File count not found
Views: 642,000
Downloads: 83,900

📚 RELATED NOTEBOOKS:
==================================
1. Factors Affecting Success in School | Upvotes: 415
URL: https://www.kaggle.com/code/kanncaa1/factors-affecting-success-in-school

2. Student's Academic Performance With ML & EDA | Upvotes: 273
URL: https://www.kaggle.com/code/harunshimanto/student-s-academic-performance-with-ml-eda

3. Student performance prediction | Upvotes: 269
URL: https://www.kaggle.com/code/rmalshe/student-performance-prediction

4. Student Performance | Upvotes: 32
URL: https://www.kaggle.com/datasets/neuralsorcerer/student-performance

5. UCIstudentPerformance | Upvotes: 3
URL: https://www.kaggle.com/datasets/robertgarcia/uclstudentperformance

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⭐️ By: https://t.me/datasets1

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Dataset Name: Grass Clover Dataset
Basic Description: Biomass composition challenge Train and Test set

📖 FULL DATASET DESCRIPTION:
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The GrassClover dataset is a diverse image and biomass dataset collected in an outdoor agricultural setting. The images contain dense populations of grass and clover mixtures with heavy occlusions and occurrences of weeds.
The dataset is collected with three different acquisition systems with ground sampling distances of 4–8 pixel per mm. The observed mixed crops vary both in setting (field vs plot trial), seed compositions, yield, years since establishment and time of the season.
Synthetic training images with pixel-wise hierarchical and instance labels are provided for supervised training. An overview of the synthetic labels classes and hierarchy is shown in the figure.
31600 unlabeled images are additionally provided for pre-training, semi-supervised training or unsupervised training.
Research Paper
https://openaccess.thecvf.com/content_CVPRW_2019/html/CVPPP/Skovsen_The_GrassClover_Image_Dataset_for_Semantic_and_Hierarchical_Species_Understanding_CVPRW_2019_paper.html
@InProceedings{Skovsen_2019_CVPR_Workshops, author = {Skovsen, Soren and Dyrmann, Mads and Mortensen, Anders K. and Laursen, Morten S. and Gislum, Rene and Eriksen, Jorgen and Farkhani, Sadaf and Karstoft, Henrik and Jorgensen, Rasmus N.}, title = {The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2019} }

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (2 GB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/usharengaraju/grassclover-dataset

📊 Additional information:
==================================
File count not found
Views: 13,300
Downloads: 854

📚 RELATED NOTEBOOKS:
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1. Pollen Grain Image Classification | Upvotes: 32
URL: https://www.kaggle.com/datasets/andrewmvd/pollen-grain-image-classification

2. Starter: GrassClover Dataset c4fa525f-2 | Upvotes: 10
URL: https://www.kaggle.com/code/kerneler/starter-grassclover-dataset-c4fa525f-2

3. Global Wheat Challenge 2021 | Upvotes: 9
URL: https://www.kaggle.com/datasets/bendvd/global-wheat-challenge-2021

4. Background Image Data | Upvotes: 8
URL: https://www.kaggle.com/code/dipuk0506/background-image-data

5. OpenSprayerSeg | Upvotes: 1
URL: https://www.kaggle.com/datasets/thatawkwardguy/opensprayerseg

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⭐️ By: https://t.me/datasets1

Dataset Name: A Million News Headlines
Basic Description: News headlines published over a period of 19 Years

📖 FULL DATASET DESCRIPTION:
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This contains data of news headlines published over a period of nineteen years.
Sourced from the reputable Australian news source ABC (Australian Broadcasting Corporation)
Agency Site: (http://www.abc.net.au)
Format: CSV ; Single File
Start Date: 2003-02-19 ; End Date: 2021-12-31
I look at this news dataset as a summarised historical record of noteworthy events in the globe from early-2003 to end-2021 with a more granular focus on Australia.
This includes the entire corpus of articles published by the abcnews website in the given date range. With a volume of two hundred articles per day and a good focus on international news, we can be fairly certain that every event of significance has been captured here.

📥 DATASET DOWNLOAD INFORMATION
==================================

🔴 Dataset Size: Download dataset as zip (22 MB)

🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/therohk/million-headlines

📊 Additional information:
==================================
File count not found
Views: 285,000
Downloads: 45,200

📚 RELATED NOTEBOOKS:
==================================
1. Topic Modelling with LSA and LDA | Upvotes: 893
URL: https://www.kaggle.com/code/rcushen/topic-modelling-with-lsa-and-lda

2. K-means Clustering of 1 million headlines | Upvotes: 370
URL: https://www.kaggle.com/code/thebrownviking20/k-means-clustering-of-1-million-headlines

3. Topic Modelling using LDA and LSA in Sklearn | Upvotes: 184
URL: https://www.kaggle.com/code/rajmehra03/topic-modelling-using-lda-and-lsa-in-sklearn

4. Global News Dataset | Upvotes: 46
URL: https://www.kaggle.com/datasets/everydaycodings/global-news-dataset

5. BBC Persian Archive | Upvotes: 12
URL: https://www.kaggle.com/datasets/malekzadeharman/bbc-persian-archive

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⭐️ By: https://t.me/datasets1