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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,027 datasets
360Giving standard data details all grants awarded by the London Borough of Barnet to voluntary, community, and social enterprise organizations for the 2018-19 fiscal year. The dataset is published to comply with the Local Government Transparency Code 2014, supporting strategic decision-making in grantmaking.
MiniImageNet is a dataset for computer vision tasks, likely containing images for classification. It is hosted on the Kaggle platform. The dataset's specific size, origin, and creation date are not provided in the available metadata.
YOLO-AL is a dataset hosted on Kaggle. The dataset's content and scale are unspecified in the available metadata. Its creator, organization, and last update date are unknown.
A collection of model checkpoints for a Generative Adversarial Network (GAN) titled FD-GAN, hosted on Kaggle. The dataset's author, organization, and creation date are unknown. The specific architecture and training data for the FD-GAN model are not described.
A dataset likely containing image quality metrics or processed image data related to the Versatile Video Coding (VVC) standard. It appears to involve the EfficientNet model and a Quantization Parameter (QP) of 37. The dataset is hosted on Kaggle, but its specific origin and creation date are unknown.
idk_fdh+gan is a dataset hosted on Kaggle. The title suggests a connection to Generative Adversarial Networks, a common technique for creating synthetic images. Specific details on content, size, and authorship are not provided in the available metadata.
Data_trainocr likely contains images and text for training optical character recognition models. Published on Kaggle, its specific size, source, and creation date are unknown. The dataset's content and structure must be verified after download.
Environmental Information Data Centre provides morphological measurements from the freshwater crustacean Asellus aquaticus collected in 2015 from Chernobyl-affected areas of Belarus and Ukraine. The dataset includes fluctuating asymmetry calculations for five morphological characters and environmental factors with total dose rates. All data points are means of two independent measurements.
Olmocr Bench contains 1,403 PDF files and 7,010 unit test cases designed to evaluate the conversion of documents into markdown format. Created by allenai and updated in February 2026, this benchmark measures an OCR system's ability to preserve both textual content and structural properties.
Conditional-GAN3D-Normalized is a dataset for training and evaluating conditional generative adversarial networks on 3D data. The dataset appears to contain normalized 3D objects or scenes, likely for tasks in computer vision and graphics. It is hosted on Kaggle, but detailed metadata about its size, origin, and specific content is unavailable.
BeDDE_FDGAN is a dataset hosted on Kaggle. Its title suggests a focus on face detection and generative adversarial networks. The dataset's specific content, size, and origin are not detailed in the available metadata.
Conditional-GAN3D-Unnormalized is a dataset hosted on Kaggle. The title suggests it contains data for training or evaluating a conditional Generative Adversarial Network on 3D image generation tasks. Metadata such as author, organization, size, and specific content details are unavailable.
A dataset titled 'fdgan-coco' hosted on Kaggle. The name suggests it may involve images, potentially related to the COCO (Common Objects in Context) dataset and Generative Adversarial Networks (GANs). Its specific content, size, and origin are not detailed in the available metadata.
FallVideo_Keypoints likely contains pose estimation data extracted from video footage. The dataset is hosted on Kaggle, but its specific size, creation date, and author are unknown. Columns suggest it contains coordinates for human body joints, potentially for analyzing motion or detecting events.
Saxony-Anhalt's land restructuring programme is represented via a Web Map Service (WMS). The service is provided by the German Federal Agency for Cartography and Geodesy (BKG). It was last updated on March 17, 2026.
NW Atlantic water temperature and depth data collected by the R/V WIECZNO between July 31, 1986 and September 16, 1986. The data were submitted by the National Marine Fisheries Service in Narragansett, RI, and are available in the NODC C116 (XBT) file format.
Australian waters data collected by the Commonwealth Scientific and Industrial Research Organization and Australian Oceanographic Data Center from June 19 to October 3, 1991. The dataset contains water depth and temperature measurements from the ship TORRENS as part of the Global Temperature-Salinity Pilot Project (GTSPP). Data was submitted in GTSPP format via FTP.
Water depth and temperature data collected in the NW Atlantic from three ships—SKOGAFOSS, OLEANDER, and YANKEE CLIPPER—as part of the Ship Of Opportunity Programme (SOOP). The data was gathered using bathythermographs (XBTs) and transmitted via telecommunication to the National Marine Fisheries Service in Narragansett, RI. Collection occurred from February 6, 1993, to December 5, 1993.
NCEI Accession 9500121 contains water depth and temperature data collected for the Global Temperature-Salinity Pilot Project (GTSPP). The data was gathered from over a dozen ships by the Commonwealth Scientific and Industrial Research Organization and the Australian Oceanographic Data Center from January 24 to December 16, 1994. The originator's bathythermograph (XBT) data was submitted in GTSPP format.
Water temperature and depth data were collected by the Commonwealth Scientific and Industrial Research Organization and the Australian Oceanographic Data Center as part of the Global Temperature-Salinity Pilot Project (GTSPP). The data originates from a dozen ships using bathythermographs (XBT) and covers a time range from February 15, 1992, to December 22, 1992. The data file was submitted in GTSPP format RAN/RNZN via FTP.