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Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
❤1
Dataset Name: Wine Reviews
Basic Description: 130k wine reviews with variety, location, winery, price, and description
📖 FULL DATASET DESCRIPTION:
==================================
After watching Somm (a documentary on master sommeliers) I wondered how I could create a predictive model to identify wines through blind tasting like a master sommelier would. The first step in this journey was gathering some data to train a model. I plan to use deep learning to predict the wine variety using words in the description/review. The model still won't be able to taste the wine, but theoretically it could identify the wine based on a description that a sommelier could give. If anyone has any ideas on how to accomplish this, please post them!
This dataset contains three files:
winemag-data-130k-v2.csv contains 10 columns and 130k rows of wine reviews.
winemag-data_first150k.csv contains 10 columns and 150k rows of wine reviews.
winemag-data-130k-v2.json contains 6919 nodes of wine reviews.
Click on the data tab to see individual file descriptions, column-level metadata and summary statistics.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (53 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/zynicide/wine-reviews
📊 Additional information:
==================================
File count not found
Downloads: 331,000
📚 RELATED NOTEBOOKS:
==================================
1. Exercise: Creating, Reading and Writing | Upvotes: 454,421
URL: https://www.kaggle.com/code/residentmario/exercise-creating-reading-and-writing
2. Exercise: Indexing, Selecting & Assigning | Upvotes: 320,767
URL: https://www.kaggle.com/code/residentmario/exercise-indexing-selecting-assigning
3. Exercise: Summary Functions and Maps | Upvotes: 270,328
URL: https://www.kaggle.com/code/residentmario/exercise-summary-functions-and-maps
4. Spanish Wine Quality Dataset | Upvotes: 142
URL: https://www.kaggle.com/datasets/fedesoriano/spanish-wine-quality-dataset
5. wine quality selection | Upvotes: 33
URL: https://www.kaggle.com/datasets/maitree/wine-quality-selection
==================================
⭐️ By: https://t.me/datasets1
Basic Description: 130k wine reviews with variety, location, winery, price, and description
📖 FULL DATASET DESCRIPTION:
==================================
After watching Somm (a documentary on master sommeliers) I wondered how I could create a predictive model to identify wines through blind tasting like a master sommelier would. The first step in this journey was gathering some data to train a model. I plan to use deep learning to predict the wine variety using words in the description/review. The model still won't be able to taste the wine, but theoretically it could identify the wine based on a description that a sommelier could give. If anyone has any ideas on how to accomplish this, please post them!
This dataset contains three files:
winemag-data-130k-v2.csv contains 10 columns and 130k rows of wine reviews.
winemag-data_first150k.csv contains 10 columns and 150k rows of wine reviews.
winemag-data-130k-v2.json contains 6919 nodes of wine reviews.
Click on the data tab to see individual file descriptions, column-level metadata and summary statistics.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (53 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/zynicide/wine-reviews
📊 Additional information:
==================================
File count not found
Downloads: 331,000
📚 RELATED NOTEBOOKS:
==================================
1. Exercise: Creating, Reading and Writing | Upvotes: 454,421
URL: https://www.kaggle.com/code/residentmario/exercise-creating-reading-and-writing
2. Exercise: Indexing, Selecting & Assigning | Upvotes: 320,767
URL: https://www.kaggle.com/code/residentmario/exercise-indexing-selecting-assigning
3. Exercise: Summary Functions and Maps | Upvotes: 270,328
URL: https://www.kaggle.com/code/residentmario/exercise-summary-functions-and-maps
4. Spanish Wine Quality Dataset | Upvotes: 142
URL: https://www.kaggle.com/datasets/fedesoriano/spanish-wine-quality-dataset
5. wine quality selection | Upvotes: 33
URL: https://www.kaggle.com/datasets/maitree/wine-quality-selection
==================================
⭐️ By: https://t.me/datasets1
❤3
Dataset Name: Drowsiness Detection Dataset
Basic Description: UnityEyes - Openned/Closed Eyes - Sleepy Driver Detection
📖 FULL DATASET DESCRIPTION:
==================================
Welcome to the UnityEyes Drowsiness Detection Dataset! This comprehensive dataset is designed to aid researchers and developers in the critical task of drowsiness detection, specifically focusing on identifying sleepy drivers based on eye behavior. The dataset was collected using UnityEyes, a state-of-the-art eye-synthetic simulator, ensuring high-quality data. It was labelled using an arbitrary threshold of openness=20 (reference: https://github.com/SNTSVV/HUDD-Toolset)
The Drowsiness Detection Dataset comprises a diverse collection of eye movement recordings from subjects of varying demographics, captured under controlled driving scenarios. The data includes sequences of eye images, meticulously labeled to indicate whether the eyes are open or closed, serving as ground truth for sleepy driver detection.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (552 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/hazemfahmy/openned-closed-eyes
📊 Additional information:
==================================
Total files: 88,500
Views: 20,000
Downloads: 2,673
📚 RELATED NOTEBOOKS:
==================================
1. drowsiness Detection Using YOLOv8 | Upvotes: 113
URL: https://www.kaggle.com/code/gauravsrivastav2507/drowsiness-detection-using-yolov8
2. ResNet50 val_accuracy:0.946 | Upvotes: 26
URL: https://www.kaggle.com/code/shivamsingh17072001/resnet50-val-accuracy-0-946
3. Drowsy Driver Detection - Omer Mustafa - Hitesh | Upvotes: 24
URL: https://www.kaggle.com/code/theomermustafa/drowsy-driver-detection-omer-mustafa-hitesh
4. MRL Eye Dataset | Upvotes: 12
URL: https://www.kaggle.com/datasets/akashshingha850/mrl-eye-dataset
5. Eye Dataset (open/close) for drowsiness prediction | Upvotes: 9
URL: https://www.kaggle.com/datasets/dhirdevansh/eye-dataset-openclose-for-drowsiness-prediction
==================================
⭐️ By: https://t.me/datasets1
Basic Description: UnityEyes - Openned/Closed Eyes - Sleepy Driver Detection
📖 FULL DATASET DESCRIPTION:
==================================
Welcome to the UnityEyes Drowsiness Detection Dataset! This comprehensive dataset is designed to aid researchers and developers in the critical task of drowsiness detection, specifically focusing on identifying sleepy drivers based on eye behavior. The dataset was collected using UnityEyes, a state-of-the-art eye-synthetic simulator, ensuring high-quality data. It was labelled using an arbitrary threshold of openness=20 (reference: https://github.com/SNTSVV/HUDD-Toolset)
The Drowsiness Detection Dataset comprises a diverse collection of eye movement recordings from subjects of varying demographics, captured under controlled driving scenarios. The data includes sequences of eye images, meticulously labeled to indicate whether the eyes are open or closed, serving as ground truth for sleepy driver detection.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (552 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/hazemfahmy/openned-closed-eyes
📊 Additional information:
==================================
Total files: 88,500
Views: 20,000
Downloads: 2,673
📚 RELATED NOTEBOOKS:
==================================
1. drowsiness Detection Using YOLOv8 | Upvotes: 113
URL: https://www.kaggle.com/code/gauravsrivastav2507/drowsiness-detection-using-yolov8
2. ResNet50 val_accuracy:0.946 | Upvotes: 26
URL: https://www.kaggle.com/code/shivamsingh17072001/resnet50-val-accuracy-0-946
3. Drowsy Driver Detection - Omer Mustafa - Hitesh | Upvotes: 24
URL: https://www.kaggle.com/code/theomermustafa/drowsy-driver-detection-omer-mustafa-hitesh
4. MRL Eye Dataset | Upvotes: 12
URL: https://www.kaggle.com/datasets/akashshingha850/mrl-eye-dataset
5. Eye Dataset (open/close) for drowsiness prediction | Upvotes: 9
URL: https://www.kaggle.com/datasets/dhirdevansh/eye-dataset-openclose-for-drowsiness-prediction
==================================
⭐️ By: https://t.me/datasets1
❤3
Dataset Name: Garbage Dataset
Basic Description: A Comprehensive Image Dataset for Garbage Classification and Recycling
📖 FULL DATASET DESCRIPTION:
==================================
This dataset contains images of garbage items categorized into 10 classes, designed for machine learning and computer vision projects focusing on recycling and waste management. It is ideal for building classification or object detection models or developing AI-powered solutions for sustainable waste disposal.
Dataset Summary
The dataset features 10 distinct classes of garbage with a total of 19,762 images, distributed as follows:
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (780 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/sumn2u/garbage-classification-v2
📊 Additional information:
==================================
Total files: 19,800
Views: 53,200
Downloads: 12,100
📚 RELATED NOTEBOOKS:
==================================
1. Garbage Classification (ResNet) | Upvotes: 57
URL: https://www.kaggle.com/code/sumn2u/garbage-classification-resnet
2. garbage-classification: DenseNet201&ResNet101V2 | Upvotes: 49
URL: https://www.kaggle.com/code/ztrollk/garbage-classification-densenet201-resnet101v2
3. Garbage Classification (Transfer Learning) | Upvotes: 39
URL: https://www.kaggle.com/code/sumn2u/garbage-classification-transfer-learning
4. Waste Materials classification Data | Upvotes: 5
URL: https://www.kaggle.com/datasets/isaacritharson/metal-glassgarbage-classification-data
5. Garbage Image classification | Upvotes: 1
URL: https://www.kaggle.com/datasets/isratjahan123/garbage-image-classification
==================================
⭐️ By: https://t.me/datasets1
Basic Description: A Comprehensive Image Dataset for Garbage Classification and Recycling
📖 FULL DATASET DESCRIPTION:
==================================
This dataset contains images of garbage items categorized into 10 classes, designed for machine learning and computer vision projects focusing on recycling and waste management. It is ideal for building classification or object detection models or developing AI-powered solutions for sustainable waste disposal.
Dataset Summary
The dataset features 10 distinct classes of garbage with a total of 19,762 images, distributed as follows:
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (780 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/sumn2u/garbage-classification-v2
📊 Additional information:
==================================
Total files: 19,800
Views: 53,200
Downloads: 12,100
📚 RELATED NOTEBOOKS:
==================================
1. Garbage Classification (ResNet) | Upvotes: 57
URL: https://www.kaggle.com/code/sumn2u/garbage-classification-resnet
2. garbage-classification: DenseNet201&ResNet101V2 | Upvotes: 49
URL: https://www.kaggle.com/code/ztrollk/garbage-classification-densenet201-resnet101v2
3. Garbage Classification (Transfer Learning) | Upvotes: 39
URL: https://www.kaggle.com/code/sumn2u/garbage-classification-transfer-learning
4. Waste Materials classification Data | Upvotes: 5
URL: https://www.kaggle.com/datasets/isaacritharson/metal-glassgarbage-classification-data
5. Garbage Image classification | Upvotes: 1
URL: https://www.kaggle.com/datasets/isratjahan123/garbage-image-classification
==================================
⭐️ By: https://t.me/datasets1
❤2
Dataset Name: Breast Cancer
Basic Description: Breast Tumor Mammography Dataset for Computer Vision
📖 FULL DATASET DESCRIPTION:
==================================
This dataset contains 3,383 mammogram images focused on breast tumors, annotated in a folder structure. The dataset was exported from Roboflow, a platform for computer vision projects. It is ideal for building and testing Deep-learning models aimed at detecting breast tumors through mammograms.
Auto-orientation of pixel data (EXIF-orientation stripping) Resized to 640x640 pixels
This dataset can be used for various computer vision tasks, including:
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (91 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/hayder17/breast-cancer-detection
📊 Additional information:
==================================
File count not found
Views: 18,700
Downloads: 3,436
📚 RELATED NOTEBOOKS:
==================================
1. RSNA | CNN Breast Cancer | Upvotes: 88
URL: https://www.kaggle.com/code/gallo33henrique/rsna-cnn-breast-cancer
2. Merge BC DataSet | Upvotes: 26
URL: https://www.kaggle.com/code/hayder17/merge-bc-dataset
3. Breast Segmentation | LLM MedGemma | Upvotes: 22
URL: https://www.kaggle.com/code/gallo33henrique/breast-segmentation-llm-medgemma
4. RNSA-Mammography-512px-8bit | Upvotes: 3
URL: https://www.kaggle.com/datasets/deltaechov/rnsamamographt512px8bit
5. Breast MRI Tumor Classification Dataset | Upvotes: 0
URL: https://www.kaggle.com/datasets/abenjelloun/breast-mri-tumor-classification-dataset
==================================
⭐️ By: https://t.me/datasets1
Basic Description: Breast Tumor Mammography Dataset for Computer Vision
📖 FULL DATASET DESCRIPTION:
==================================
This dataset contains 3,383 mammogram images focused on breast tumors, annotated in a folder structure. The dataset was exported from Roboflow, a platform for computer vision projects. It is ideal for building and testing Deep-learning models aimed at detecting breast tumors through mammograms.
Auto-orientation of pixel data (EXIF-orientation stripping) Resized to 640x640 pixels
This dataset can be used for various computer vision tasks, including:
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (91 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/hayder17/breast-cancer-detection
📊 Additional information:
==================================
File count not found
Views: 18,700
Downloads: 3,436
📚 RELATED NOTEBOOKS:
==================================
1. RSNA | CNN Breast Cancer | Upvotes: 88
URL: https://www.kaggle.com/code/gallo33henrique/rsna-cnn-breast-cancer
2. Merge BC DataSet | Upvotes: 26
URL: https://www.kaggle.com/code/hayder17/merge-bc-dataset
3. Breast Segmentation | LLM MedGemma | Upvotes: 22
URL: https://www.kaggle.com/code/gallo33henrique/breast-segmentation-llm-medgemma
4. RNSA-Mammography-512px-8bit | Upvotes: 3
URL: https://www.kaggle.com/datasets/deltaechov/rnsamamographt512px8bit
5. Breast MRI Tumor Classification Dataset | Upvotes: 0
URL: https://www.kaggle.com/datasets/abenjelloun/breast-mri-tumor-classification-dataset
==================================
⭐️ By: https://t.me/datasets1
❤3
Dataset Name: Malaria: Plasmodium Vivax Species
Basic Description: The Malaria Parasite Image Database for Image Processing and Analysis
📖 FULL DATASET DESCRIPTION:
==================================
Malaria is caused by protozoan parasites of the genus Plasmodium that are transmitted through the bites of infected female Anopheles mosquitoes and that infect the red blood cells. Most deaths occur among children in Africa, where a child dies almost every minute from malaria, and where malaria is a leading cause of childhood neuro-disability. Malaria remains a major burden on global health, with roughly 200 million cases worldwide and more than 400,000 deaths per year. Besides biomedical research and political efforts, modern information technology is playing a key role in many attempts at fighting the disease. One of the barriers to a successful mortality reduction has been inadequate malaria diagnosis in particular. To improve diagnosis, image analysis software and machine learning methods have been used to quantify parasitemia in microscopic blood slides.
There are 5 Plasmodium species that cause malaria in human: Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae, Plasmodium ovale, and Plasmodium knowlesi. The 2 most common species are P. falciparum and P. vivax. P. falciparum is the most severe form and is responsible for most malaria-related deaths globally. And Plasmodium knowlesi is rarely found.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (38 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/saife245/malaria-plasmodium-vivax-specie
📊 Additional information:
==================================
File count not found
Views: 8,932
Downloads: 460
📚 RELATED NOTEBOOKS:
==================================
1. Malaria Bounding Boxes | Upvotes: 132
URL: https://www.kaggle.com/datasets/kmader/malaria-bounding-boxes
2. Malaria Detection Dataset | Upvotes: 33
URL: https://www.kaggle.com/datasets/orvile/p-vivax-malaria-infected-human-blood-smears
3. Images preprocessing | Upvotes: 16
URL: https://www.kaggle.com/code/mohamedsalemmohamed/images-preprocessing
4. MP-IDB-YOLO: YOLO-Formatted MP-IDB Malaria Dataset | Upvotes: 4
URL: https://www.kaggle.com/datasets/rayhanadi/yolo-formatted-mp-idb-malaria-dataset
5. Starter: Malaria: Plasmodium Vivax 66f0ab62-b | Upvotes: 3
URL: https://www.kaggle.com/code/kerneler/starter-malaria-plasmodium-vivax-66f0ab62-b
==================================
⭐️ By: https://t.me/datasets1
Basic Description: The Malaria Parasite Image Database for Image Processing and Analysis
📖 FULL DATASET DESCRIPTION:
==================================
Malaria is caused by protozoan parasites of the genus Plasmodium that are transmitted through the bites of infected female Anopheles mosquitoes and that infect the red blood cells. Most deaths occur among children in Africa, where a child dies almost every minute from malaria, and where malaria is a leading cause of childhood neuro-disability. Malaria remains a major burden on global health, with roughly 200 million cases worldwide and more than 400,000 deaths per year. Besides biomedical research and political efforts, modern information technology is playing a key role in many attempts at fighting the disease. One of the barriers to a successful mortality reduction has been inadequate malaria diagnosis in particular. To improve diagnosis, image analysis software and machine learning methods have been used to quantify parasitemia in microscopic blood slides.
There are 5 Plasmodium species that cause malaria in human: Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae, Plasmodium ovale, and Plasmodium knowlesi. The 2 most common species are P. falciparum and P. vivax. P. falciparum is the most severe form and is responsible for most malaria-related deaths globally. And Plasmodium knowlesi is rarely found.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (38 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/saife245/malaria-plasmodium-vivax-specie
📊 Additional information:
==================================
File count not found
Views: 8,932
Downloads: 460
📚 RELATED NOTEBOOKS:
==================================
1. Malaria Bounding Boxes | Upvotes: 132
URL: https://www.kaggle.com/datasets/kmader/malaria-bounding-boxes
2. Malaria Detection Dataset | Upvotes: 33
URL: https://www.kaggle.com/datasets/orvile/p-vivax-malaria-infected-human-blood-smears
3. Images preprocessing | Upvotes: 16
URL: https://www.kaggle.com/code/mohamedsalemmohamed/images-preprocessing
4. MP-IDB-YOLO: YOLO-Formatted MP-IDB Malaria Dataset | Upvotes: 4
URL: https://www.kaggle.com/datasets/rayhanadi/yolo-formatted-mp-idb-malaria-dataset
5. Starter: Malaria: Plasmodium Vivax 66f0ab62-b | Upvotes: 3
URL: https://www.kaggle.com/code/kerneler/starter-malaria-plasmodium-vivax-66f0ab62-b
==================================
⭐️ By: https://t.me/datasets1
Dataset Name: Used Cars Dataset
Basic Description: Vehicles listings from Craigslist.org
📖 FULL DATASET DESCRIPTION:
==================================
Craigslist is the world's largest collection of used vehicles for sale, yet it's very difficult to collect all of them in the same place. I built a scraper for a school project and expanded upon it later to create this dataset which includes every used vehicle entry within the United States on Craigslist.
This data is scraped every few months, it contains most all relevant information that Craigslist provides on car sales including columns like price, condition, manufacturer, latitude/longitude, and 18 other categories. For ML projects, consider feature engineering on location columns such as long/lat. For previous listings, check older versions of the dataset.
See https://github.com/AustinReese/UsedVehicleSearch
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (275 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/austinreese/craigslist-carstrucks-data
📊 Additional information:
==================================
File count not found
Views: 721,000
Downloads: 103,000
📚 RELATED NOTEBOOKS:
==================================
1. Automatic Number Plate Recognition | Upvotes: 2,295
URL: https://www.kaggle.com/code/aslanahmedov/automatic-number-plate-recognition
2. Automatic Number Plate Recognition | Upvotes: 419
URL: https://www.kaggle.com/code/mohamedbhy/automatic-number-plate-recognition
3. Used Cars Price Prediction by 15 models | Upvotes: 355
URL: https://www.kaggle.com/code/vbmokin/used-cars-price-prediction-by-15-models
4. USA Housing Listings | Upvotes: 75
URL: https://www.kaggle.com/datasets/austinreese/usa-housing-listings
5. 1.2 Million Used Car Listings | Upvotes: 61
URL: https://www.kaggle.com/datasets/jpayne/852k-used-car-listings
==================================
⭐️ By: https://t.me/datasets1
Basic Description: Vehicles listings from Craigslist.org
📖 FULL DATASET DESCRIPTION:
==================================
Craigslist is the world's largest collection of used vehicles for sale, yet it's very difficult to collect all of them in the same place. I built a scraper for a school project and expanded upon it later to create this dataset which includes every used vehicle entry within the United States on Craigslist.
This data is scraped every few months, it contains most all relevant information that Craigslist provides on car sales including columns like price, condition, manufacturer, latitude/longitude, and 18 other categories. For ML projects, consider feature engineering on location columns such as long/lat. For previous listings, check older versions of the dataset.
See https://github.com/AustinReese/UsedVehicleSearch
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (275 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/austinreese/craigslist-carstrucks-data
📊 Additional information:
==================================
File count not found
Views: 721,000
Downloads: 103,000
📚 RELATED NOTEBOOKS:
==================================
1. Automatic Number Plate Recognition | Upvotes: 2,295
URL: https://www.kaggle.com/code/aslanahmedov/automatic-number-plate-recognition
2. Automatic Number Plate Recognition | Upvotes: 419
URL: https://www.kaggle.com/code/mohamedbhy/automatic-number-plate-recognition
3. Used Cars Price Prediction by 15 models | Upvotes: 355
URL: https://www.kaggle.com/code/vbmokin/used-cars-price-prediction-by-15-models
4. USA Housing Listings | Upvotes: 75
URL: https://www.kaggle.com/datasets/austinreese/usa-housing-listings
5. 1.2 Million Used Car Listings | Upvotes: 61
URL: https://www.kaggle.com/datasets/jpayne/852k-used-car-listings
==================================
⭐️ By: https://t.me/datasets1
❤4
Get top-tier market analysis: world events meet technical trading.
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We will tell you everything on the channel, even for beginners.
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https://t.me/+9mZure1faNRkOTE8
I'm Michael 👋. My team and I share our market insights daily on our Telegram channel. Over the past weekend, our strategies delivered up to +39% gains.
We will tell you everything on the channel, even for beginners.
Join the channel below! 👇
https://t.me/+9mZure1faNRkOTE8
❤1
Dataset Name: Animals-10
Basic Description: Animal pictures of 10 different categories taken from google images
📖 FULL DATASET DESCRIPTION:
==================================
Hello everyone!
This is the dataset I have used for my matriculation thesis.
It contains about 28K medium quality animal images belonging to 10 categories: dog, cat, horse, spyder, butterfly, chicken, sheep, cow, squirrel, elephant.
I have used it to test different image recognition networks: from homemade CNNs (~80% accuracy) to Google Inception (98%). It could simulate a smart gallery for a researcher (like a biologist).
All the images have been collected from "google images" and have been checked by human. There is some erroneous data to simulate real conditions (eg. images taken by users of your app).
The main directory is divided into folders, one for each category. Image count for each category varies from 2K to 5 K units.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (614 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/alessiocorrado99/animals10
📊 Additional information:
==================================
Total files: 26,200
Views: 424,000
Downloads: 94,600
📚 RELATED NOTEBOOKS:
==================================
1. 🐈Animal Image Classification using EfficientNetB7 | Upvotes: 645
URL: https://www.kaggle.com/code/vencerlanz09/animal-image-classification-using-efficientnetb7
2. animal classification | Upvotes: 543
URL: https://www.kaggle.com/code/min4tozaki/animal-classification
3. Grad-CAM: What do CNNs see ? | Upvotes: 229
URL: https://www.kaggle.com/code/quadeer15sh/grad-cam-what-do-cnns-see
4. Animals Detection Images Dataset | Upvotes: 179
URL: https://www.kaggle.com/datasets/antoreepjana/animals-detection-images-dataset
5. Animals-10 | Upvotes: 17
URL: https://www.kaggle.com/datasets/viratkothari/animal10
==================================
⭐️ By: https://t.me/datasets1
Basic Description: Animal pictures of 10 different categories taken from google images
📖 FULL DATASET DESCRIPTION:
==================================
Hello everyone!
This is the dataset I have used for my matriculation thesis.
It contains about 28K medium quality animal images belonging to 10 categories: dog, cat, horse, spyder, butterfly, chicken, sheep, cow, squirrel, elephant.
I have used it to test different image recognition networks: from homemade CNNs (~80% accuracy) to Google Inception (98%). It could simulate a smart gallery for a researcher (like a biologist).
All the images have been collected from "google images" and have been checked by human. There is some erroneous data to simulate real conditions (eg. images taken by users of your app).
The main directory is divided into folders, one for each category. Image count for each category varies from 2K to 5 K units.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (614 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/alessiocorrado99/animals10
📊 Additional information:
==================================
Total files: 26,200
Views: 424,000
Downloads: 94,600
📚 RELATED NOTEBOOKS:
==================================
1. 🐈Animal Image Classification using EfficientNetB7 | Upvotes: 645
URL: https://www.kaggle.com/code/vencerlanz09/animal-image-classification-using-efficientnetb7
2. animal classification | Upvotes: 543
URL: https://www.kaggle.com/code/min4tozaki/animal-classification
3. Grad-CAM: What do CNNs see ? | Upvotes: 229
URL: https://www.kaggle.com/code/quadeer15sh/grad-cam-what-do-cnns-see
4. Animals Detection Images Dataset | Upvotes: 179
URL: https://www.kaggle.com/datasets/antoreepjana/animals-detection-images-dataset
5. Animals-10 | Upvotes: 17
URL: https://www.kaggle.com/datasets/viratkothari/animal10
==================================
⭐️ By: https://t.me/datasets1
❤2
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Dataset Name: Malaria Bounding Boxes
Basic Description: P. vivax (malaria) infected human blood smears
📖 FULL DATASET DESCRIPTION:
==================================
Malaria is a disease caused by Plasmodium parasites that remains a major threat in global health, affecting 200 million people and causing 400,000 deaths a year. The main species of malaria that affect humans are Plasmodium falciparum and Plasmodium vivax.
For malaria as well as other microbial infections, manual inspection of thick and thin blood smears by trained microscopists remains the gold standard for parasite detection and stage determination because of its low reagent and instrument cost and high flexibility. Despite manual inspection being extremely low throughput and susceptible to human bias, automatic counting software remains largely unused because of the wide range of variations in brightfield microscopy images. However, a robust automatic counting and cell classification solution would provide enormous benefits due to faster and more accurate quantitative results without human variability; researchers and medical professionals could better characterize stage-specific drug targets and better quantify patient reactions to drugs.
Previous attempts to automate the process of identifying and quantifying malaria have not gained major traction partly due to difficulty of replication, comparison, and extension. Authors also rarely make their image sets available, which precludes replication of results and assessment of potential improvements. The lack of a standard set of images nor standard set of metrics used to report results has impeded the field.
Images are in .png or .jpg format. There are 3 sets of images consisting of 1364 images (~80,000 cells) with different researchers having prepared each one: from Brazil (Stefanie Lopes), from Southeast Asia (Benoit Malleret), and time course (Gabriel Rangel). Blood smears were stained with Giemsa reagent.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (5 GB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/kmader/malaria-bounding-boxes
📊 Additional information:
==================================
File count not found
Views: 54,400
Downloads: 4,657
📚 RELATED NOTEBOOKS:
==================================
1. Malaria | YoloV5 | FasterRCNN | Upvotes: 114
URL: https://www.kaggle.com/code/polomarco/malaria-yolov5-fasterrcnn
2. Malaria Bounding Box | Upvotes: 93
URL: https://www.kaggle.com/code/vishnu123/malaria-bounding-box
3. Malaria Preview | Upvotes: 32
URL: https://www.kaggle.com/code/kmader/malaria-preview
4. Malaria Cell Images(Shuffled and Split) | Upvotes: 6
URL: https://www.kaggle.com/datasets/sagnikmazumder37/malaria-cell-imagesshuffled-and-split
5. P.Vivax malaria image dataset | Upvotes: 4
URL: https://www.kaggle.com/datasets/jxxn03x/p-vivax-malaria-image-dataset
==================================
⭐️ By: https://t.me/datasets1
Basic Description: P. vivax (malaria) infected human blood smears
📖 FULL DATASET DESCRIPTION:
==================================
Malaria is a disease caused by Plasmodium parasites that remains a major threat in global health, affecting 200 million people and causing 400,000 deaths a year. The main species of malaria that affect humans are Plasmodium falciparum and Plasmodium vivax.
For malaria as well as other microbial infections, manual inspection of thick and thin blood smears by trained microscopists remains the gold standard for parasite detection and stage determination because of its low reagent and instrument cost and high flexibility. Despite manual inspection being extremely low throughput and susceptible to human bias, automatic counting software remains largely unused because of the wide range of variations in brightfield microscopy images. However, a robust automatic counting and cell classification solution would provide enormous benefits due to faster and more accurate quantitative results without human variability; researchers and medical professionals could better characterize stage-specific drug targets and better quantify patient reactions to drugs.
Previous attempts to automate the process of identifying and quantifying malaria have not gained major traction partly due to difficulty of replication, comparison, and extension. Authors also rarely make their image sets available, which precludes replication of results and assessment of potential improvements. The lack of a standard set of images nor standard set of metrics used to report results has impeded the field.
Images are in .png or .jpg format. There are 3 sets of images consisting of 1364 images (~80,000 cells) with different researchers having prepared each one: from Brazil (Stefanie Lopes), from Southeast Asia (Benoit Malleret), and time course (Gabriel Rangel). Blood smears were stained with Giemsa reagent.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (5 GB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/kmader/malaria-bounding-boxes
📊 Additional information:
==================================
File count not found
Views: 54,400
Downloads: 4,657
📚 RELATED NOTEBOOKS:
==================================
1. Malaria | YoloV5 | FasterRCNN | Upvotes: 114
URL: https://www.kaggle.com/code/polomarco/malaria-yolov5-fasterrcnn
2. Malaria Bounding Box | Upvotes: 93
URL: https://www.kaggle.com/code/vishnu123/malaria-bounding-box
3. Malaria Preview | Upvotes: 32
URL: https://www.kaggle.com/code/kmader/malaria-preview
4. Malaria Cell Images(Shuffled and Split) | Upvotes: 6
URL: https://www.kaggle.com/datasets/sagnikmazumder37/malaria-cell-imagesshuffled-and-split
5. P.Vivax malaria image dataset | Upvotes: 4
URL: https://www.kaggle.com/datasets/jxxn03x/p-vivax-malaria-image-dataset
==================================
⭐️ By: https://t.me/datasets1
❤7
Dataset Name: COVID-19 Dataset
Basic Description: Number of Confirmed, Death and Recovered cases every day across the globe
📖 FULL DATASET DESCRIPTION:
==================================
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📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (20 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/imdevskp/corona-virus-report
📊 Additional information:
==================================
File count not found
Downloads: 387,000
📚 RELATED NOTEBOOKS:
==================================
1. COVID-19 - Analysis, Visualization & Comparisons | Upvotes: 7,330
URL: https://www.kaggle.com/code/imdevskp/covid-19-analysis-visualization-comparisons
2. Novel Corona Virus 2019 Dataset | Upvotes: 6,275
URL: https://www.kaggle.com/datasets/sudalairajkumar/novel-corona-virus-2019-dataset
3. COVID-19: Digging a Bit Deeper | Upvotes: 883
URL: https://www.kaggle.com/code/abhinand05/covid-19-digging-a-bit-deeper
4. COVID-19 - Temperature, Air Travel & Transmission | Upvotes: 489
URL: https://www.kaggle.com/code/sixteenpython/covid-19-temperature-air-travel-transmission
5. COVID-19 Coronavirus Dataset | Upvotes: 47
URL: https://www.kaggle.com/datasets/vignesh1694/covid19-coronavirus
==================================
⭐️ By: https://t.me/datasets1
Basic Description: Number of Confirmed, Death and Recovered cases every day across the globe
📖 FULL DATASET DESCRIPTION:
==================================
(opens in a new tab)"> (opens in a new tab)">
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (20 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/imdevskp/corona-virus-report
📊 Additional information:
==================================
File count not found
Downloads: 387,000
📚 RELATED NOTEBOOKS:
==================================
1. COVID-19 - Analysis, Visualization & Comparisons | Upvotes: 7,330
URL: https://www.kaggle.com/code/imdevskp/covid-19-analysis-visualization-comparisons
2. Novel Corona Virus 2019 Dataset | Upvotes: 6,275
URL: https://www.kaggle.com/datasets/sudalairajkumar/novel-corona-virus-2019-dataset
3. COVID-19: Digging a Bit Deeper | Upvotes: 883
URL: https://www.kaggle.com/code/abhinand05/covid-19-digging-a-bit-deeper
4. COVID-19 - Temperature, Air Travel & Transmission | Upvotes: 489
URL: https://www.kaggle.com/code/sixteenpython/covid-19-temperature-air-travel-transmission
5. COVID-19 Coronavirus Dataset | Upvotes: 47
URL: https://www.kaggle.com/datasets/vignesh1694/covid19-coronavirus
==================================
⭐️ By: https://t.me/datasets1
❤1
Dataset Name: FIFA23 OFFICIAL DATASET
Basic Description: From FIFA17 to FIFA23 statistics for each football player
📖 FULL DATASET DESCRIPTION:
==================================
The dataset contains +17k unique players and more than 60 columns, general information and all KPIs the famous videogame offers. As the esport scene keeps rising espacially on FIFA, I thought it can be useful for the community (kagglers and/or gamers)
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (14 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/bryanb/fifa-player-stats-database
📊 Additional information:
==================================
File count not found
Views: 107,000
Downloads: 66,500
📚 RELATED NOTEBOOKS:
==================================
1. FIFA 22 complete player dataset | Upvotes: 419
URL: https://www.kaggle.com/datasets/stefanoleone992/fifa-22-complete-player-dataset
2. FIFA 21 complete player dataset | Upvotes: 197
URL: https://www.kaggle.com/datasets/stefanoleone992/fifa-21-complete-player-dataset
3. FIFA 22 Players Dataset | Upvotes: 42
URL: https://www.kaggle.com/datasets/minhnguyen147/fifa-22-players-dataset
4. FIFA 21 Player Comparison using Radar Chart | Upvotes: 33
URL: https://www.kaggle.com/code/abhijithchandradas/fifa-21-player-comparison-using-radar-chart
5. Using FIFA to Predict FPL score | Upvotes: 20
URL: https://www.kaggle.com/code/scientistdat/using-fifa-to-predict-fpl-score
==================================
⭐️ By: https://t.me/datasets1
Basic Description: From FIFA17 to FIFA23 statistics for each football player
📖 FULL DATASET DESCRIPTION:
==================================
The dataset contains +17k unique players and more than 60 columns, general information and all KPIs the famous videogame offers. As the esport scene keeps rising espacially on FIFA, I thought it can be useful for the community (kagglers and/or gamers)
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (14 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/bryanb/fifa-player-stats-database
📊 Additional information:
==================================
File count not found
Views: 107,000
Downloads: 66,500
📚 RELATED NOTEBOOKS:
==================================
1. FIFA 22 complete player dataset | Upvotes: 419
URL: https://www.kaggle.com/datasets/stefanoleone992/fifa-22-complete-player-dataset
2. FIFA 21 complete player dataset | Upvotes: 197
URL: https://www.kaggle.com/datasets/stefanoleone992/fifa-21-complete-player-dataset
3. FIFA 22 Players Dataset | Upvotes: 42
URL: https://www.kaggle.com/datasets/minhnguyen147/fifa-22-players-dataset
4. FIFA 21 Player Comparison using Radar Chart | Upvotes: 33
URL: https://www.kaggle.com/code/abhijithchandradas/fifa-21-player-comparison-using-radar-chart
5. Using FIFA to Predict FPL score | Upvotes: 20
URL: https://www.kaggle.com/code/scientistdat/using-fifa-to-predict-fpl-score
==================================
⭐️ By: https://t.me/datasets1
❤2👎1
Dataset Name: Real Life Violence Situations Dataset
Basic Description: 1000 videos containing real street fight and 1000 video from other classes
📖 FULL DATASET DESCRIPTION:
==================================
(This dataset has the following citation: M. Soliman, M. Kamal, M. Nashed, Y. Mostafa, B. Chawky, D. Khattab, “ Violence Recognition from Videos using Deep Learning Techniques”, Proc. 9th International Conference on Intelligent Computing and Information Systems (ICICIS'19), Cairo, pp. 79-84, 2019. please use it in case of using the dataset in research or engineering purpose ) when we start our Graduation Project Violence Recognition from Videos we found that there is shortage in available datasets related to violence between individuals so we decide to create new big dataset with variety of scenes
Our Dataset Contains 1000 Violence and 1000 non-violence videos collected from youtube videos, violence videos in our dataset contain many real street fights situations in several environments and conditions. also non-violence videos from our dataset are collected from many different human actions like sports, eating, walking …etc. see samples from dataset
Thanks to ALLAH who give us the ability to do this work Thanks to our supervisors Dr.Dina Khattab and TA.Bassel Safwat Thanks to my team members Mohamed Hussein , Mina Abd El-Massih , Youssif Mohamed
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (4 GB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mohamedmustafa/real-life-violence-situations-dataset
📊 Additional information:
==================================
File count not found
Views: 144,000
Downloads: 27,000
📚 RELATED NOTEBOOKS:
==================================
1. Real Time Violence Detection | MobileNet Bi-LSTM | Upvotes: 424
URL: https://www.kaggle.com/code/abduulrahmankhalid/real-time-violence-detection-mobilenet-bi-lstm
2. Real life violence detection using InceptionV3 | Upvotes: 395
URL: https://www.kaggle.com/code/nandinibagga/real-life-violence-detection-using-inceptionv3
3. Real Life Violence Detection / KERAS-TENSORFLOW | Upvotes: 115
URL: https://www.kaggle.com/code/brsdincer/real-life-violence-detection-keras-tensorflow
4. Video Fights Dataset | Upvotes: 24
URL: https://www.kaggle.com/datasets/shreyj1729/cctv-fights-dataset
5. Real Life Violence and Non-Violence Data | Upvotes: 15
URL: https://www.kaggle.com/datasets/karandeep98/real-life-violence-and-nonviolence-data
==================================
⭐️ By: https://t.me/datasets1
Basic Description: 1000 videos containing real street fight and 1000 video from other classes
📖 FULL DATASET DESCRIPTION:
==================================
(This dataset has the following citation: M. Soliman, M. Kamal, M. Nashed, Y. Mostafa, B. Chawky, D. Khattab, “ Violence Recognition from Videos using Deep Learning Techniques”, Proc. 9th International Conference on Intelligent Computing and Information Systems (ICICIS'19), Cairo, pp. 79-84, 2019. please use it in case of using the dataset in research or engineering purpose ) when we start our Graduation Project Violence Recognition from Videos we found that there is shortage in available datasets related to violence between individuals so we decide to create new big dataset with variety of scenes
Our Dataset Contains 1000 Violence and 1000 non-violence videos collected from youtube videos, violence videos in our dataset contain many real street fights situations in several environments and conditions. also non-violence videos from our dataset are collected from many different human actions like sports, eating, walking …etc. see samples from dataset
Thanks to ALLAH who give us the ability to do this work Thanks to our supervisors Dr.Dina Khattab and TA.Bassel Safwat Thanks to my team members Mohamed Hussein , Mina Abd El-Massih , Youssif Mohamed
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (4 GB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/mohamedmustafa/real-life-violence-situations-dataset
📊 Additional information:
==================================
File count not found
Views: 144,000
Downloads: 27,000
📚 RELATED NOTEBOOKS:
==================================
1. Real Time Violence Detection | MobileNet Bi-LSTM | Upvotes: 424
URL: https://www.kaggle.com/code/abduulrahmankhalid/real-time-violence-detection-mobilenet-bi-lstm
2. Real life violence detection using InceptionV3 | Upvotes: 395
URL: https://www.kaggle.com/code/nandinibagga/real-life-violence-detection-using-inceptionv3
3. Real Life Violence Detection / KERAS-TENSORFLOW | Upvotes: 115
URL: https://www.kaggle.com/code/brsdincer/real-life-violence-detection-keras-tensorflow
4. Video Fights Dataset | Upvotes: 24
URL: https://www.kaggle.com/datasets/shreyj1729/cctv-fights-dataset
5. Real Life Violence and Non-Violence Data | Upvotes: 15
URL: https://www.kaggle.com/datasets/karandeep98/real-life-violence-and-nonviolence-data
==================================
⭐️ By: https://t.me/datasets1
❤3
Dataset Name: Vehicle Orientation dataset - Object detection
Basic Description: Vehicle orientation dataset contains 1,000,000+ annotations 200,000+ images.
📖 FULL DATASET DESCRIPTION:
==================================
The Vehicle Orientation Dataset The vehicle orientation dataset contains more than one million annotations of vehicles with orientation in more than 200,000 images. It reduces the need of a secondary neural network to classify orientation by simultaneously providing both vehicle class and direction. Here are our published papers at ISPRS Journal of Photogrammetry and Remote Sensing and IEEE International Conference on Big Data 2021: Real-time citywide reconstruction of traffic flow from moving cameras on lightweight edge devices» Citywide reconstruction of cross-sectional traffic flow from moving camera videos»
Download Vehicle Orientation Dataset Download Experiment Dataset (Video and GPS) Pre-trained weights We'll continue adding various object detection models trained on the vehicle orientation dataset and the synthetic vehicle orientation dataset. Open an issue if you need some specific pre-trained weights. All vehicles in the vehicle orientation dataset are labeled with both vehicle class (five categories) and its orientation (three types).
The five classes of vehicles are: [Car, Bus, Truck, Motorcycle, Bicycle] The three types of orientations are: [Front, Back, Side] So the vehicle orientation dataset has a total of 15 classes of vehicles with orientation such car_back, car_front, car_side, bus_back, bus_front, etc.
0-car_back 1-car_side 2-car_front 3-bus_back 4-bus_side 5-bus_front 6-truck_back 7-truck_side 8-truck_front 9-motorcycle_back 10-motorcycle_side 11-motorcycle_front 12-bicycle_back 13-bicycle_side 14-bicycle_front
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (25 GB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/raghavdharwal/vehicle-orientation-dataset-part-1
📊 Additional information:
==================================
Total files: 100,000
Views: 2,321
Downloads: 133
📚 RELATED NOTEBOOKS:
==================================
1. Car Number Plate Dataset (YOLO Format) | Upvotes: 10
URL: https://www.kaggle.com/datasets/sujaymann/car-number-plate-dataset-yolo-format
2. YOLO to COCO | Upvotes: 3
URL: https://www.kaggle.com/code/raghavdharwal/yolo-to-coco
3. YOLO to Pascal VOC | Upvotes: 3
URL: https://www.kaggle.com/code/raghavdharwal/yolo-to-pascal-voc
4. Aerial view of Vehicles, and Humans Dataset (YOLO) | Upvotes: 3
URL: https://www.kaggle.com/datasets/redzapdos123/aerial-view-of-vehicles-and-humans-dataset-yolo
5. Vehicle Detection Dataset image | Upvotes: 3
URL: https://www.kaggle.com/datasets/daudshah/vehicle-detection-dataset
==================================
⭐️ By: https://t.me/datasets1
Basic Description: Vehicle orientation dataset contains 1,000,000+ annotations 200,000+ images.
📖 FULL DATASET DESCRIPTION:
==================================
The Vehicle Orientation Dataset The vehicle orientation dataset contains more than one million annotations of vehicles with orientation in more than 200,000 images. It reduces the need of a secondary neural network to classify orientation by simultaneously providing both vehicle class and direction. Here are our published papers at ISPRS Journal of Photogrammetry and Remote Sensing and IEEE International Conference on Big Data 2021: Real-time citywide reconstruction of traffic flow from moving cameras on lightweight edge devices» Citywide reconstruction of cross-sectional traffic flow from moving camera videos»
Download Vehicle Orientation Dataset Download Experiment Dataset (Video and GPS) Pre-trained weights We'll continue adding various object detection models trained on the vehicle orientation dataset and the synthetic vehicle orientation dataset. Open an issue if you need some specific pre-trained weights. All vehicles in the vehicle orientation dataset are labeled with both vehicle class (five categories) and its orientation (three types).
The five classes of vehicles are: [Car, Bus, Truck, Motorcycle, Bicycle] The three types of orientations are: [Front, Back, Side] So the vehicle orientation dataset has a total of 15 classes of vehicles with orientation such car_back, car_front, car_side, bus_back, bus_front, etc.
0-car_back 1-car_side 2-car_front 3-bus_back 4-bus_side 5-bus_front 6-truck_back 7-truck_side 8-truck_front 9-motorcycle_back 10-motorcycle_side 11-motorcycle_front 12-bicycle_back 13-bicycle_side 14-bicycle_front
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (25 GB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/raghavdharwal/vehicle-orientation-dataset-part-1
📊 Additional information:
==================================
Total files: 100,000
Views: 2,321
Downloads: 133
📚 RELATED NOTEBOOKS:
==================================
1. Car Number Plate Dataset (YOLO Format) | Upvotes: 10
URL: https://www.kaggle.com/datasets/sujaymann/car-number-plate-dataset-yolo-format
2. YOLO to COCO | Upvotes: 3
URL: https://www.kaggle.com/code/raghavdharwal/yolo-to-coco
3. YOLO to Pascal VOC | Upvotes: 3
URL: https://www.kaggle.com/code/raghavdharwal/yolo-to-pascal-voc
4. Aerial view of Vehicles, and Humans Dataset (YOLO) | Upvotes: 3
URL: https://www.kaggle.com/datasets/redzapdos123/aerial-view-of-vehicles-and-humans-dataset-yolo
5. Vehicle Detection Dataset image | Upvotes: 3
URL: https://www.kaggle.com/datasets/daudshah/vehicle-detection-dataset
==================================
⭐️ By: https://t.me/datasets1
Dataset Name: Linked In Job Postings (2023 - 2024)
Basic Description: LinkedIn Job Postings (2023 - 2024)
📖 FULL DATASET DESCRIPTION:
==================================
Scraper Code - https://github.com/ArshKA/LinkedIn-Job-Scraper
Every day, thousands of companies and individuals turn to LinkedIn in search of talent. This dataset contains a nearly comprehensive record of 124,000+ job postings listed in 2023 and 2024. Each individual posting contains dozens of valuable attributes for both postings and companies, including the title, job description, salary, location, application URL, and work-types (remote, contract, etc), in addition to separate files containing the benefits, skills, and industries associated with each posting. The majority of jobs are also linked to a company, which are all listed in another csv file containing attributes such as the company description, headquarters location, and number of employees, and follower count.
With so many datapoints, the potential for exploration of this dataset is vast and includes exploring the highest compensated titles, companies, and locations; predicting salaries/benefits through NLP; and examining how industries and companies vary through their internship offerings and benefits. Future updates will permit further exploration into time-based trends, including company growth, prevalence of remote jobs, and demand of individual job titles over time.
Thank you to @zoeyyuzou for scraping an additional 100,000 jobs
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (166 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/arshkon/linkedin-job-postings
📊 Additional information:
==================================
File count not found
Views: 126,000
Downloads: 53,100
📚 RELATED NOTEBOOKS:
==================================
1. "Decoding the Job Market: An In-depth Exploration | Upvotes: 84
URL: https://www.kaggle.com/code/pratul007/decoding-the-job-market-an-in-depth-exploration
2. LinkedIn Job Postings 2023 Data Analysis | Upvotes: 58
URL: https://www.kaggle.com/code/enricofindley/linkedin-job-postings-2023-data-analysis
3. LinkedIn_job_data | Upvotes: 49
URL: https://www.kaggle.com/datasets/shashankshukla123123/linkedin-job-data
4. Text-based Resume Filtering Tool | Upvotes: 46
URL: https://www.kaggle.com/code/hasanz9/text-based-resume-filtering-tool
5. International Job Postings September 2021 | Upvotes: 19
URL: https://www.kaggle.com/datasets/techmap/international-job-postings-september-2021
==================================
⭐️ By: https://t.me/datasets1
Basic Description: LinkedIn Job Postings (2023 - 2024)
📖 FULL DATASET DESCRIPTION:
==================================
Scraper Code - https://github.com/ArshKA/LinkedIn-Job-Scraper
Every day, thousands of companies and individuals turn to LinkedIn in search of talent. This dataset contains a nearly comprehensive record of 124,000+ job postings listed in 2023 and 2024. Each individual posting contains dozens of valuable attributes for both postings and companies, including the title, job description, salary, location, application URL, and work-types (remote, contract, etc), in addition to separate files containing the benefits, skills, and industries associated with each posting. The majority of jobs are also linked to a company, which are all listed in another csv file containing attributes such as the company description, headquarters location, and number of employees, and follower count.
With so many datapoints, the potential for exploration of this dataset is vast and includes exploring the highest compensated titles, companies, and locations; predicting salaries/benefits through NLP; and examining how industries and companies vary through their internship offerings and benefits. Future updates will permit further exploration into time-based trends, including company growth, prevalence of remote jobs, and demand of individual job titles over time.
Thank you to @zoeyyuzou for scraping an additional 100,000 jobs
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (166 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/arshkon/linkedin-job-postings
📊 Additional information:
==================================
File count not found
Views: 126,000
Downloads: 53,100
📚 RELATED NOTEBOOKS:
==================================
1. "Decoding the Job Market: An In-depth Exploration | Upvotes: 84
URL: https://www.kaggle.com/code/pratul007/decoding-the-job-market-an-in-depth-exploration
2. LinkedIn Job Postings 2023 Data Analysis | Upvotes: 58
URL: https://www.kaggle.com/code/enricofindley/linkedin-job-postings-2023-data-analysis
3. LinkedIn_job_data | Upvotes: 49
URL: https://www.kaggle.com/datasets/shashankshukla123123/linkedin-job-data
4. Text-based Resume Filtering Tool | Upvotes: 46
URL: https://www.kaggle.com/code/hasanz9/text-based-resume-filtering-tool
5. International Job Postings September 2021 | Upvotes: 19
URL: https://www.kaggle.com/datasets/techmap/international-job-postings-september-2021
==================================
⭐️ By: https://t.me/datasets1
Dataset Name: Online Payments Fraud Detection Dataset
Basic Description: Online payment fraud big dataset for testing and practice purpose
📖 FULL DATASET DESCRIPTION:
==================================
The below column reference:
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (186 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/rupakroy/online-payments-fraud-detection-dataset
📊 Additional information:
==================================
File count not found
Views: 161,000
Downloads: 27,300
📚 RELATED NOTEBOOKS:
==================================
1. Feature Engineering and Feature Selection | Upvotes: 358
URL: https://www.kaggle.com/code/nkitgupta/feature-engineering-and-feature-selection
2. Online Payments Fraud Detection | Upvotes: 242
URL: https://www.kaggle.com/code/ananthu19/online-payments-fraud-detection
3. Online Payments Fraud Detection Project | Upvotes: 90
URL: https://www.kaggle.com/code/nehahatti/online-payments-fraud-detection-project
4. credit card fraud dataset | Upvotes: 2
URL: https://www.kaggle.com/datasets/visheshbairwa/credit-card-fraud-dataset
5. Fraud Transactions Dataset | Upvotes: 1
URL: https://www.kaggle.com/datasets/tanayatipre/fraud-transactions-dataset
==================================
⭐️ By: https://t.me/datasets1
Basic Description: Online payment fraud big dataset for testing and practice purpose
📖 FULL DATASET DESCRIPTION:
==================================
The below column reference:
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (186 MB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/rupakroy/online-payments-fraud-detection-dataset
📊 Additional information:
==================================
File count not found
Views: 161,000
Downloads: 27,300
📚 RELATED NOTEBOOKS:
==================================
1. Feature Engineering and Feature Selection | Upvotes: 358
URL: https://www.kaggle.com/code/nkitgupta/feature-engineering-and-feature-selection
2. Online Payments Fraud Detection | Upvotes: 242
URL: https://www.kaggle.com/code/ananthu19/online-payments-fraud-detection
3. Online Payments Fraud Detection Project | Upvotes: 90
URL: https://www.kaggle.com/code/nehahatti/online-payments-fraud-detection-project
4. credit card fraud dataset | Upvotes: 2
URL: https://www.kaggle.com/datasets/visheshbairwa/credit-card-fraud-dataset
5. Fraud Transactions Dataset | Upvotes: 1
URL: https://www.kaggle.com/datasets/tanayatipre/fraud-transactions-dataset
==================================
⭐️ By: https://t.me/datasets1
❤4👍2
Dataset Name: Gallstone Dataset (UCI)
Basic Description: Gallstone Dataset (UCI Machine Learning Repository)
📖 FULL DATASET DESCRIPTION:
==================================
Overview
The clinical dataset was collected from the Internal Medicine Outpatient Clinic of Ankara VM Medical Park Hospital and includes data from 319 individuals (June 2022–June 2023), 161 of whom were diagnosed with gallstone disease. It contains 38 features, including demographic, bioimpedance, and laboratory data, and was ethically approved by the Ankara City Hospital Ethics Committee (E2-23-4632). Demographic variables are age, sex, height, weight, and BMI. Bioimpedance data includes total, extracellular, and intracellular water; muscle and fat mass; protein; visceral fat area; and hepatic fat. Laboratory features are glucose, total cholesterol, HDL, LDL, triglycerides, AST, ALT, ALP, creatinine, GFR, CRP, hemoglobin, and vitamin D. The dataset is complete, with no missing values, and balanced in terms of disease status, eliminating the need for additional preprocessing. It provides a strong foundation for machine learning-based gallstone prediction using non-imaging features.
Context
Gallstone disease is a common gastrointestinal disorder characterized by the formation of solid particles (gallstones) in the gallbladder. These stones can lead to complications like inflammation, infection, and obstruction of the bile ducts. Understanding the medical, demographic, and lifestyle factors associated with gallstone formation is crucial for early diagnosis and prevention strategies.
This dataset has been curated to support research, exploratory data analysis (EDA), and machine learning tasks focused on gallstone risk prediction and clinical decision-making.
Dataset Details
Size: The dataset has 319 rows and 40 columns.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (81 kB)
🔰 Direct dataset download link:
URL not found
📊 Additional information:
==================================
File count not found
Views: 1,128
Downloads: 246
📚 RELATED NOTEBOOKS:
==================================
1. Heart Attack Risk Prediction Dataset | Upvotes: 274
URL: https://www.kaggle.com/datasets/iamsouravbanerjee/heart-attack-prediction-dataset
2. Diabetes_prediction_dataset | Upvotes: 88
URL: https://www.kaggle.com/datasets/marshalpatel3558/diabetes-prediction-dataset
3. 🩺 Chronic Kidney Disease Dataset 🩺 | Upvotes: 60
URL: https://www.kaggle.com/datasets/rabieelkharoua/chronic-kidney-disease-dataset-analysis
4. Getting_Started_with_Gallstone| EDA | ML | Upvotes: 10
URL: https://www.kaggle.com/code/xixama/getting-started-with-gallstone-eda-ml
5. XGBoost Gallstone Prediction Model (FIV) | Upvotes: 9
URL: https://www.kaggle.com/code/rafipratamag/xgboost-gallstone-prediction-model-fiv
==================================
⭐️ By: https://t.me/datasets1
Basic Description: Gallstone Dataset (UCI Machine Learning Repository)
📖 FULL DATASET DESCRIPTION:
==================================
Overview
The clinical dataset was collected from the Internal Medicine Outpatient Clinic of Ankara VM Medical Park Hospital and includes data from 319 individuals (June 2022–June 2023), 161 of whom were diagnosed with gallstone disease. It contains 38 features, including demographic, bioimpedance, and laboratory data, and was ethically approved by the Ankara City Hospital Ethics Committee (E2-23-4632). Demographic variables are age, sex, height, weight, and BMI. Bioimpedance data includes total, extracellular, and intracellular water; muscle and fat mass; protein; visceral fat area; and hepatic fat. Laboratory features are glucose, total cholesterol, HDL, LDL, triglycerides, AST, ALT, ALP, creatinine, GFR, CRP, hemoglobin, and vitamin D. The dataset is complete, with no missing values, and balanced in terms of disease status, eliminating the need for additional preprocessing. It provides a strong foundation for machine learning-based gallstone prediction using non-imaging features.
Context
Gallstone disease is a common gastrointestinal disorder characterized by the formation of solid particles (gallstones) in the gallbladder. These stones can lead to complications like inflammation, infection, and obstruction of the bile ducts. Understanding the medical, demographic, and lifestyle factors associated with gallstone formation is crucial for early diagnosis and prevention strategies.
This dataset has been curated to support research, exploratory data analysis (EDA), and machine learning tasks focused on gallstone risk prediction and clinical decision-making.
Dataset Details
Size: The dataset has 319 rows and 40 columns.
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (81 kB)
🔰 Direct dataset download link:
URL not found
📊 Additional information:
==================================
File count not found
Views: 1,128
Downloads: 246
📚 RELATED NOTEBOOKS:
==================================
1. Heart Attack Risk Prediction Dataset | Upvotes: 274
URL: https://www.kaggle.com/datasets/iamsouravbanerjee/heart-attack-prediction-dataset
2. Diabetes_prediction_dataset | Upvotes: 88
URL: https://www.kaggle.com/datasets/marshalpatel3558/diabetes-prediction-dataset
3. 🩺 Chronic Kidney Disease Dataset 🩺 | Upvotes: 60
URL: https://www.kaggle.com/datasets/rabieelkharoua/chronic-kidney-disease-dataset-analysis
4. Getting_Started_with_Gallstone| EDA | ML | Upvotes: 10
URL: https://www.kaggle.com/code/xixama/getting-started-with-gallstone-eda-ml
5. XGBoost Gallstone Prediction Model (FIV) | Upvotes: 9
URL: https://www.kaggle.com/code/rafipratamag/xgboost-gallstone-prediction-model-fiv
==================================
⭐️ By: https://t.me/datasets1
❤3
Dataset Name: Glaucoma Fundus Imaging Datasets
Basic Description: Fundus images and OD/OC masks from ORIGA, REFUGE, and G1020 datasets
📖 FULL DATASET DESCRIPTION:
==================================
Contains fundus images and corresponding optic disc/cup segmentations and Glaucoma diagnosis information from three datasets: ORIGA, REFUGE, and G1020. Links to the corresponding papers are below.
ORIGA: https://pubmed.ncbi.nlm.nih.gov/21095735/ REFUGE: https://ieee-dataport.org/documents/refuge-retinal-fundus-glaucoma-challenge G1020: https://arxiv.org/abs/2006.09158
The datasets were modified to add fundus images cropped to the region of the optic disc and cup, and the corresponding masks (Images_Cropped and Masks_Cropped).
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (6 GB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/arnavjain1/glaucoma-datasets
📊 Additional information:
==================================
Total files: 21,600
Views: 50,600
Downloads: 8,813
📚 RELATED NOTEBOOKS:
==================================
1. UNET Segmentation of OC/OD | Upvotes: 155
URL: https://www.kaggle.com/code/arnavjain1/unet-segmentation-of-oc-od
2. u_NET_GLAUCOMA DETECTION_FUDNDUS_PYTORCH | Upvotes: 41
URL: https://www.kaggle.com/code/chukwuebukaanulunko/u-net-glaucoma-detection-fudndus-pytorch
3. OC/OD segmentation using keras | Upvotes: 38
URL: https://www.kaggle.com/code/vuppalaadithyasairam/oc-od-segmentation-using-keras
4. Glaucoma OCT Scans (Origa) Augmented Dataset | Upvotes: 10
URL: https://www.kaggle.com/datasets/scipygaurav/glaucoma-oct-scans-origa-augmented-dataset
5. Glaucoma - OD/CD segmentation for YOLO. | Upvotes: 0
URL: https://www.kaggle.com/datasets/nhnthanhj/glaucoma-odcd-segmentation-for-yolo
==================================
⭐️ By: https://t.me/datasets1
Basic Description: Fundus images and OD/OC masks from ORIGA, REFUGE, and G1020 datasets
📖 FULL DATASET DESCRIPTION:
==================================
Contains fundus images and corresponding optic disc/cup segmentations and Glaucoma diagnosis information from three datasets: ORIGA, REFUGE, and G1020. Links to the corresponding papers are below.
ORIGA: https://pubmed.ncbi.nlm.nih.gov/21095735/ REFUGE: https://ieee-dataport.org/documents/refuge-retinal-fundus-glaucoma-challenge G1020: https://arxiv.org/abs/2006.09158
The datasets were modified to add fundus images cropped to the region of the optic disc and cup, and the corresponding masks (Images_Cropped and Masks_Cropped).
📥 DATASET DOWNLOAD INFORMATION
==================================
🔴 Dataset Size: Download dataset as zip (6 GB)
🔰 Direct dataset download link:
https://www.kaggle.com/api/v1/datasets/download/arnavjain1/glaucoma-datasets
📊 Additional information:
==================================
Total files: 21,600
Views: 50,600
Downloads: 8,813
📚 RELATED NOTEBOOKS:
==================================
1. UNET Segmentation of OC/OD | Upvotes: 155
URL: https://www.kaggle.com/code/arnavjain1/unet-segmentation-of-oc-od
2. u_NET_GLAUCOMA DETECTION_FUDNDUS_PYTORCH | Upvotes: 41
URL: https://www.kaggle.com/code/chukwuebukaanulunko/u-net-glaucoma-detection-fudndus-pytorch
3. OC/OD segmentation using keras | Upvotes: 38
URL: https://www.kaggle.com/code/vuppalaadithyasairam/oc-od-segmentation-using-keras
4. Glaucoma OCT Scans (Origa) Augmented Dataset | Upvotes: 10
URL: https://www.kaggle.com/datasets/scipygaurav/glaucoma-oct-scans-origa-augmented-dataset
5. Glaucoma - OD/CD segmentation for YOLO. | Upvotes: 0
URL: https://www.kaggle.com/datasets/nhnthanhj/glaucoma-odcd-segmentation-for-yolo
==================================
⭐️ By: https://t.me/datasets1
Forwarded from ENG. Hussein Sheikho
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