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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,527 datasets
169 Connecticut towns contributed property assessment data for a statewide 2024 collection effort. The GIS office compiled this information into a seamless parcel layer, cleaning inconsistencies from municipal submissions. This file was generated on September 28, 2024, from data collected throughout the year.
Satellitesegmentation contains paired Sentinel-2 RGB image tiles and corresponding integer-labeled land-cover masks derived from ESA WorldCover data. The dataset is prepared for semantic segmentation tasks, with source imagery from Sentinel-2 L2A via Microsoft Planetary Computer. It was authored by nikolkoo and last updated on 2025-11-26.
This collection of Jupyter Notebooks by Ultralytics provides implementation examples for computer vision tasks including object detection and instance segmentation. Updated in January 2026, the repository serves as the official documentation for YOLO11 and previous model iterations across medical and manufacturing domains.
5,082 parsed email threads extracted from U.S. House Oversight Committee documents and processed by notesbymuneeb in late 2024. It transforms raw OCR'd text into a structured format featuring cleaned message bodies, sender/recipient metadata, and timestamps.
Performance data for the Accountable Care Organization REACH Model, formerly the Global and Professional Direct Contracting Model, prior to settlement. The dataset includes information on risk arrangements, stop loss, capitation, savings rates, and quality results for participating ACOs. It is published by the U.S. Department of Health & Human Services.
U.S. Department of Health & Human Services data details usage, payments, and submitted charges for Medicare Durable Medical Equipment, Devices & Supplies. Information is organized by National Provider Identifier (NPI), Healthcare Common Procedure Coding System (HCPCS) code, and supplier rental indicator. The dataset was last updated in December 2025.
craneset maintains a collection of datasets related to Optical Character Recognition (OCR). The repository is licensed under the MIT license and was last updated on 2026-01-06. The specific contents, scale, and formats of the datasets are not detailed in the available metadata.
InnovisionLLC generated this high-quality dataset for the human injury biomechanics community. Version V1.0 was supported by NSF ACCESS and the US Department of Defense. The dataset was last updated on December 18, 2025.
A web-scale dataset introduced in the paper 'CommonForms: A Large, Diverse Dataset for Form Field Detection'. It contains roughly 55,000 document images annotated for form field detection, framing the task as object detection. The dataset was created by jbarrow and was last updated on Hugging Face in November 2025.
A large-scale multi-modal dataset for referring motion expression video segmentation, developed by FudanCVL. The dataset is associated with research papers published at ICCV 2023 and TPAMI 2025. The dataset page was last updated on 2025-11-27.
Multiple processed benchmark datasets across depth estimation and visual geometry categories provide standardized evaluation for the Depth Anything 3 model. The collection includes test sets for predicting spatially consistent geometry from arbitrary visual inputs across varying camera configurations.
A dataset created in partnership with Microsoft for a research project on positive representation in AI image generation software. Little People of America (LPA) was invited to help develop AI software designed to improve the respectful and accurate visual representation of people with dwarfism. The dataset was authored by LPA1957 and last updated on 2025-11-25.
2.6 million image-text pairs form this synthetic dataset for Persian Optical Character Recognition. Persian-OCR-Garshasp is designed for training and evaluating OCR and scene text recognition models for Persian text in the wild. The dataset was created by AliShafiee2003 and was last updated on Hugging Face in November 2025.
EgoPlan-Bench provides 741 samples for evaluating models on egocentric video understanding and action planning. Each sample contains a video file, a question about the next action, a task goal, and four multiple-choice options with a correct answer. The dataset is designed as a benchmark for tasks involving video and textual reasoning.
This dataset provides images for training Not Safe For Work detection models, focusing on artistic content. It is organized into five distinct classes representing different levels of appropriateness. The dataset was created by author deepghs and was last updated in November 2025.
An open-source synthetic dataset for computer vision object detection, focused on people holding knives in public and semi-public environments, viewed from CCTV and surveillance camera perspectives. It was created by Simuletic and last updated on November 18, 2025. The dataset is designed to help train and evaluate YOLO, YOLOv8, YOLOWorld, Detectron, and other object detection models.
Voxel51 provides a FiftyOne dataset containing 712 scanned receipt images. The dataset is designed for optical character recognition and information extraction tasks. It was last updated on October 21, 2025.
1,000 synthetic images of Turkish text designed for Optical Character Recognition model training. The dataset, created by emredeveloper and last updated in November 2025, contains a mix of handwritten and printed text with realistic augmentations. It fully supports the Turkish alphabet, including characters like Ç, ğ, İ, and Ş.
An Active Citation data project supporting analysis of Britain's pivotal deterrence policy during the July Crisis of 1914. The project was converted to Annotation for Transparent Inquiry format and is authored by Timothy W. Crawford. It examines the policy's intermediate effects on France, Germany, Austria-Hungary, and Russia.
Monthly extracts from the IRS Business Master File provide a cumulative registry of all active tax-exempt organizations in Connecticut. Data includes financial metrics like ASSET_AMT and INCOME_AMT, organizational codes, and ruling dates, with records removed upon revocation of exempt status. The Internal Revenue Service maintains this file, which is updated nightly.