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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,937 datasets
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.
LIBERO-Mem provides time-aligned, object-centric robot manipulation data. The dataset includes task-level metadata, synchronized RGB-D observations, segmentation maps, proprioception, and control actions stored in metainfo.json and .hdf5 files. It was created by libero-mem and last updated in November 2025.
An ultralytics-compatible dataset provides annotated bounding boxes for eyes in anime-style character images. The dataset is formatted for YOLOv8 and other Ultralytics frameworks, enabling training of computer vision models for eye detection in anime artwork. It was created by author deepghs and last updated in November 2025.
400 JPEG images of elevator panels, with 292 taken across 24 buildings on the University of Texas at Austin campus and 108 sourced from the internet under varying conditions. The dataset includes JSON files with pixel-level annotations for buttons and labels, plus PyTorch model weights for segmentation and text recognition. It was created by Nicholas Verzic and last updated in October 2025.
New York State data details major income tax components from full-year resident, nonresident, and part-year resident returns. The dataset covers tax years beginning in 2015, produced annually by the New York State Department of Taxation and Finance. It includes counts of returns, adjusted gross income, tax liability, and filing statuses aggregated by place of residence.
Data.ny.gov provides annual statistics on New York State personal income tax returns from tax year 2015 onward. The dataset includes major tax components such as New York adjusted gross income, tax liability, deductions, and exemptions, broken down by taxpayer place of residence and broad income range. It is produced by the New York State Department of Taxation and Finance using full population data for returns processed in the year following the liability period.
MVU-Eval is a benchmark dataset for evaluating Multimodal Large Language Models on multi-video understanding tasks. It was created by the MVU-Eval-Team and last updated on Hugging Face in November 2025. The dataset addresses a gap in existing single-video benchmarks by focusing on scenarios requiring analysis across multiple videos, such as sports analytics and autonomous driving.