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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,394 datasets
A dataset for face detection tasks, published on Kaggle. The specific number of images, annotations, and collection details are not provided in the available metadata. Users must download the dataset to verify its scale, quality, and intended application.
An image dataset likely related to artificial intelligence image generation processes. The dataset is hosted on Kaggle, but its specific contents, size, and authorship are unknown. Columns and sample data are unavailable.
A collection of images likely depicting digital instruments such as gauges or meters. The dataset is hosted on Kaggle and appears intended for training object detection models, specifically using architectures like YOLOv8. The author, organization, and specific details about the collection method are unknown.
Yolo-Bbox-Crops-V1 is a dataset hosted on Kaggle. Its title suggests it contains cropped images derived from bounding box annotations, likely for use in computer vision tasks. The dataset's specific content, scale, and origin are unknown.
A PyTorch model file (.pth) containing the weights for the EfficientNet-B3 architecture. The file is hosted on Kaggle, a platform for sharing datasets and machine learning resources. The specific training data, performance metrics, and creation details for this model are unknown.
Minecraft CycleGAN DeepCode is a dataset hosted on Kaggle. Its title suggests it contains image data for training or evaluating a CycleGAN model, likely related to Minecraft game assets. The dataset's specific content, size, and authorship are unknown from the provided metadata.
A ResNet50 model trained for classifying land features from satellite imagery. The dataset likely contains model weights and associated training data. It was published on Kaggle.
A dataset titled 'Tools Detection Dataset for Yolo' is hosted on Kaggle. The dataset likely contains images annotated for object detection tasks, specifically targeting tools. Metadata is minimal; the exact number of images, annotation format, and specific tool categories are unknown.
Kaggle hosts an object detection dataset. The dataset likely contains images with bounding box annotations for training and evaluating computer vision models. Specific details on size, source, and creation date are not provided in the available metadata.
British Geological Survey provides a site survey for oil and gas debris clearance conducted by Shell UK Ltd between December 2022 and January 2023. The survey covered UK North Sea blocks 22/30, 22/25, and 23/26 under licences P264 and P12. Specific data volume and column details are unavailable.
A 2013 oil and gas industry site survey for the Merganser semi-sub rig, acquired under licence P012 by Shell UK Ltd. The survey was conducted by the British Geological Survey between September and October 2013, traversing block number 22/30.
A 2012 drilling hazard site survey for the oil and gas industry, conducted by Shell UK Ltd under licence P012. The survey was acquired in August 2012 and traversed block number 21/30. The British Geological Survey (BGS) is the authoritative organization for this dataset.
Accountable Care Organization Participants data from the U.S. Department of Health & Human Services provides an overview of participants in the Medicare Shared Savings Program. It includes information such as organization name, track status, years in the program, and contact details for key personnel. The dataset was last updated in February 2026.
U.S. Department of Health & Human Services data details Accountable Care Organizations (ACOs) participating in the Medicare Shared Savings Program. It includes organizational information such as name, track status, program tenure, and contact details for key personnel. The dataset was last updated in February 2026.
British Geological Survey provides a seabed infrastructure survey for the Gannet Proposed GC1-04 Well. The survey assesses anchoring conditions and was acquired between October 2005 and February 2006, traversing UKCS block 21/25.
November 2004 survey of seabed anchoring conditions for the Gannet GG-01 well in UKCS Block 22/21. The dataset was acquired by Shell UK Ltd and is held by the British Geological Survey under reference SH04SS0001.
June 2005 survey of seabed anchoring conditions for oil and gas infrastructure in UK Continental Shelf Block 22/30a. The dataset was created by the British Geological Survey and references their identifier SH05SS0003.
March 2006 seabed infrastructure survey for oil and gas anchoring conditions, conducted by Shell UK Ltd. The data was acquired by the British Geological Survey for UK Continental Shelf Block 21/30N.
An October 2007 seabed infrastructure survey for oil and gas anchoring conditions, conducted by Shell UK Ltd. The British Geological Survey provides this data for UK Continental Shelf Block 21/30 under reference SH07SS0001.
November 2004 seabed survey for oil and gas infrastructure anchoring conditions, conducted by Shell UK Ltd. The British Geological Survey provides this data covering UK Continental Shelf Block 22/21. Specific row and column counts are unavailable.