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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,370 datasets
TomatoCare is a collection of tomato images intended for training deep learning models to classify maturity stages. The dataset was uploaded to Kaggle, but details on the number of images, collection dates, geographic origin, and creator are not provided in the available metadata.
A computer vision dataset published on Kaggle, likely containing images formatted for the YOLO object detection framework. The dataset's title and platform tags suggest it involves tiled imagery, possibly for detecting objects like bees. Specific details on size, source, and creation date are not provided in the available metadata.
A collection of brain scan images likely annotated for tumor segmentation tasks. The dataset is hosted on Kaggle, but its specific size, origin, and creation date are not provided in the available metadata. Further details about the image count, annotation format, and collection methodology require verification after download.
EfficientNetB2-weights is a dataset of pre-trained model parameters for the EfficientNetB2 architecture. The dataset is hosted on Kaggle, a platform for data science and machine learning. Specific details about the file format, size, and creation date are not provided in the available metadata.
Kaggle hosts a dataset titled 'Skin_Cancer_CNN'. The dataset likely contains images for the purpose of skin cancer detection using convolutional neural networks. The specific number of images, collection source, and update date are unknown.
A dataset on organizational design and collaboration, published on Kaggle. The specific content, scale, and origin are not detailed in the provided metadata. Columns likely contain variables related to organizational structures and collaborative processes.
A dataset titled 'soccer.vli.yolov8' published on Kaggle. The title suggests it contains video or image data related to soccer, likely annotated for object detection using the YOLOv8 model. The dataset's specific content, size, and origin require verification after download.
Laboratory analyses of surface water and sediment trap samples from over 232 river miles of the Snake River and its tributaries, collected from 2014 to 2019. The dataset includes measurements for mercury species, carbon and nitrogen isotopes, dissolved organic matter composition, and major and trace elements. Samples were collected from main stem, reservoir, and tributary sites using depth-integrated samplers, peristaltic pumps, and Van Dorn samplers.
A dataset named 'custom-imagenet' hosted on Kaggle. The title suggests it is a modified or specialized version of the ImageNet dataset, which is commonly used for computer vision tasks. No further details on size, origin, or specific modifications are available from the provided metadata.
A dataset for object detection in aerial or drone imagery, published on Kaggle. The specific number of images, annotation details, and collection methodology are not provided in the metadata. Users must download the dataset to verify its content, scale, and suitability for their tasks.
Kaggle hosts a dataset titled 'kawanda-masaka-line-yolo'. The title suggests it contains imagery, likely from the Kawanda-Masaka line, formatted for training YOLO object detection models. No further metadata, such as author, size, or sample data, is available from the input.
Major YOLO Merge Data is a dataset hosted on Kaggle. The title suggests it is related to the YOLO (You Only Look Once) family of object detection models. The dataset's specific content, size, and origin are not detailed in the available metadata.
Microscopy files and plate reader data supporting research on liquid-liquid phase separation of the lactose permease (LacY) membrane protein in Escherichia coli. It includes optical and electron microscopy files in .czi, .lsm, .lif, and .tif formats, raw .stk files from SMdM and PALM acquisitions, and .csv output files from a TECAN plate reader. The data is organized by the figures in the associated publication.
CircuitVision Cleaned YOLO Dataset likely contains images annotated for object detection tasks. The dataset is hosted on Kaggle, but its specific size, creation date, and authorship are unknown. Columns suggest it is formatted for training YOLO (You Only Look Once) models.
An OCR dataset for invoices, likely containing images and corresponding text annotations. The dataset includes bounding box coordinates, which suggests it is structured for training object detection models. It is hosted on Kaggle, but details on its size, origin, and creation date are not provided.
SRGAN_Best is a dataset hosted on Kaggle. The title suggests it contains data related to Super-Resolution Generative Adversarial Networks. The dataset's specific content, size, and origin are unknown.
Brain tumor detection using Mask R CNN is a dataset hosted on Kaggle. The dataset likely contains medical images annotated for segmentation tasks. Metadata is minimal; actual content requires verification after download.
A Kaggle-hosted collection of images likely intended for training convolutional neural networks for skin cancer detection. The dataset's specific size, source, and annotation details are unknown. Its content and structure require verification after download.
LitterSense YOLOv8 Weights mAP975 is a computer vision model artifact published on Kaggle. The title indicates it is a set of trained weights for the YOLOv8 object detection architecture, likely intended for identifying litter in images. Its specific performance metric, mAP975, suggests a high mean average precision score, though the exact training data and application context require verification.
EfficientNet-B3 is a deep learning model trained to detect six specific eye diseases with a reported 95% accuracy. The model was published on Kaggle, but details about the training data volume, creator, and last update are unavailable.