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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,997 datasets
June 2018 snapshot of the ONS UPRN Directory (ONSUD) for Great Britain, relating Unique Property Reference Numbers (UPRNs) to statutory administrative, electoral, health, and statistical geographies. The 448 MB file is produced by ONS Geography and issued every six weeks to complement Ordnance Survey AddressBase. It contains intellectual property from Royal Mail, Gridlink, Ordnance Survey, and ONS.
13 MRI studies from different angles provide a view of multiple sclerosis. The dataset consists of .dcm files containing brain MRI scans of a person with multiple sclerosis, labeled by doctors and accompanied by PDF reports. It was authored by UniqueData and last updated on Hugging Face in September 2025.
SentinelKilnDB is a large-scale benchmark dataset for oriented bounding box detection of brick kilns using satellite imagery. It was created by SustainabilityLabIITGN for the NeurIPS 2025 Datasets & Benchmarks Track, focusing on the Indo-Gangetic Plain region of South Asia.
SoccerReplay-1988 is the largest multi-modal soccer video dataset, introduced in the CVPR 2025 paper 'Towards Universal Soccer Video Understanding'. The dataset was created by author Homie0609 and was last updated on the platform in September 2025. It is designed for advanced AI research in sports video comprehension.
Presenting a toy dataset designed to introduce object detection in a beginner-friendly way. It contains images for detecting chess pieces, created by jalFaizy and last updated in October 2025. The dataset is categorized as having under 1,000 samples.
Democracy Checkup surveys gather Canadian opinions outside of election campaigns. The data likely contains public attitudes on democratic values, policies, and current issues. It was authored by Allison Harell and last updated on October 13, 2025.
A semantic segmentation dataset for breast cancer pathology images, re-hosted on Hugging Face for easier access. The dataset is licensed under CC0 1.0 Universal, allowing redistribution. It was last updated on Hugging Face on 2025-09-27.
34,378 Lower Layer Super Output Areas (LSOAs) in England and Wales are classified into rural and urban categories. The classification was developed in 2004 by a consortium coordinated by Prof. John Shepherd from Birkbeck College, co-sponsored by UK government bodies including the Office for National Statistics and Defra. It provides a tool for analyzing datasets according to a morphology indicator (urban >10k, town and fringe, other rural) and a context indicator for sparsity.
A 2001 rural-urban classification for 7,194 Middle Layer Super Output Areas (MSOAs) in England and Wales. The dataset was developed in 2004 by a consortium coordinated by Prof. John Shepherd from Birkbeck College and co-sponsored by UK government agencies including the Office for National Statistics and Defra. It categorizes areas into three morphological domains and includes a sparsity context indicator.
Annotated video sequences across the category of rip currents for beach safety monitoring, as presented in the CVPR 2025 paper. This version 1.8.4 dataset provides a benchmark for video instance segmentation (VIS) specifically targeting coastal hazards.
Over 6,900 images curated for image-to-text recognition tasks, particularly for scanned documents and OCR. The dataset, created by prithivMLmods, is structured in an ImageFolder format and was last updated on September 9, 2025. It is intended for training models on document parsing, PDF image understanding, and layout or text extraction.
A dataset of Turkish words, likely intended for optical character recognition tasks. It was published on the Hugging Face platform by the author 'orkungedik' and was last updated on November 8, 2025. The specific content, size, and structure require verification after download.
Non-profit organizations with addresses in Cambridge, Massachusetts, which have IRS recognition of tax-exempt status. The data includes NTEE classification codes, financial attributes like Assets and Income, and geospatial coordinates. It was last updated on 2025-08-27 by data.cambridgema.gov.
The Register of Geographic Codes (RGC) is the definitive list of UK statistical geographies maintained by the Office for National Statistics (ONS). This version from December 2020 includes late updates for Leeds wards, parishes, and unparished areas. ONS coordinates the issuance of new codes and maintains relationships between active and archived code ranges on behalf of the Government Statistical Service.
Built from annotated images representing six Brazilian Jiu-Jitsu positions: guard, mount, side control, turtle, takedown, and standing. Each image includes category labels, bounding boxes, and keypoints formatted according to the COCO standard across training, validation, and test splits.
A training dataset for the SFE Competition 2025, which appears to be a computer vision challenge. The dataset was uploaded by the author 'InternScience' and last updated on October 10, 2025. The description indicates the data is stored in a zip file bundle named 'images_bundle.zip'.
A balanced collection of AI-generated and real human-captured images for classification tasks. The dataset was created by Parveshiiii and was last updated on September 25, 2025. It contains two classes: '0' for AI-generated images and '1' for real images.
Assembled from protected microdata files from Statistics Netherlands (CBS), processed to prevent the identification of individuals and households. The files are available for free download from the EASY archive, with new versions released regularly. The specific number of rows, columns, and file size is unknown.
A dataset harvested on 2025-10-14 by Begoña Fernández-Pintor via e-cienciaDatos. It contains the volatile composition of seven edible flower species determined by HS-SPME/GC-MS analysis. The data includes information on potential bioactive effects and the number of volatile organic metabolites found.
Replication data for the paper 'Outsourcing of research and development and efficiency: a DEA non-parametric analysis of the contract research organisations industry' by Díaz and Sanchez-Robles (2023). The dataset was harvested from e-cienciaDatos and last updated on October 14, 2025.