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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
17,297 datasets
PMoC3D is a real-world dataset of Paired Motion-Corrupted 3D brain MRI data. It consists of unprocessed undersampled measurement data for 27 motion-corrupted volumes from 8 subjects, each paired with a motion-free reference scan. The dataset was created by mli-lab and last updated on Hugging Face in November 2025.
AlvaroCavalcante released this hand and face detection dataset on GitHub, with the most recent update occurring in January 2026. It provides visual data specifically for sign language recognition tasks using TensorFlow-based object detection frameworks.
Research data from e-cienciaDatos Harvested Dataverse investigates the influence of common impurities on heterogeneous acid catalysts for producing bio-jet fuel precursors. The dataset, authored by Marta Paniagua and last updated in November 2025, compares sulfonic acid-based materials and commercial zeolites. It details catalyst deactivation and regeneration processes, identifying furfural as the most detrimental impurity.
Gil Martín, Manuel's Multi-view Leap2 Hand Pose Dataset (ML2HP Dataset) is a resource for hand pose recognition, captured using two Leap Motion Controller 2 devices. It contains 714,000 instances of 17 different hand poses, recorded from 21 subjects, and includes real images with 247 associated hand properties like landmark coordinates and velocities. The dataset was last updated on October 14, III.
Vokturz created a dataset containing 1,118 screenshots from SourceForge software projects. The images are paired with metadata and text extracted via the qwen/qwen3-vl-235b-a22b-instruct model. The dataset was last updated on November 8, 2025, and is intended for fine-tuning smaller Qwen3-VL models.
Comprising data from 13,051 children under five years old enrolled in a two-phase study across six Ugandan hospitals to assess a risk-differentiated discharge intervention for suspected sepsis. It includes clinical, social, and demographic variables collected at admission and follow-up data on mortality, health-seeking, and readmission up to six months post-discharge. The study compares a baseline phase (n=6,955) with an intervention phase (n=6,096).
491 MB of data linking every Unique Property Reference Number (UPRN) in Great Britain to statutory administrative, electoral, health, and other geographies. The ONS UPRN Directory is produced by ONS Geography and updated every six weeks to complement the Ordnance Survey AddressBase product. This snapshot is from February 2023.
VidChapters-7M contains 817,000 videos with associated Automatic Speech Recognition data and chapter annotations. The dataset was created by lucas-ventura for the CVPR 2025 paper on efficient chaptering in hour-long videos. It includes captions extracted using various sampling strategies and chapter titles with timestamps.
Karine-Huang developed T2I-CompBench in 2023 to provide a standardized framework for evaluating compositionality in text-to-image models. The benchmark includes curated text prompts and evaluation metrics published in NeurIPS 2023 and TPAMI to assess how models handle complex textual instructions.
1460 coded political actors across 290 presidential administrations in 20 Latin American countries. Scott Mainwaring commissioned archival research reports between 2008 and 2013 to measure normative regime preferences and policy radicalism. The data collection covers the period from 1944 to 2010, with Argentina and El Salvador extending back to 1916 and 1927.
STIPLAR is a real-world scene text image dataset containing Korean, Arabic, and Japanese text image pairs. The data was collected from MLT-2019 and web sources and is designed for fine-tuning the STELLAR model on low-resource languages. It was created by yongchoooon and last updated on Hugging Face in November 2025.
The Yiddish Synthetic Pangoline Dataset is a collection of synthetic Yiddish document images generated using a custom Pangoline text-to-image synthesis tool. It contains high-quality synthetic Yiddish text rendered as images, along with corresponding ground truth text and ALTO-XML layout annotations. The dataset was created by author johnlockejrr and was last updated on 2025-11-02.
A qualitative study deposited in October 2025 examines how search systems impact systematic searching. Data were collected from interviews with twelve systematic searchers and analyzed using reflexive thematic analysis. The dataset includes deidentified interview transcripts, recruitment materials, and coded themes for two planned publications.
Vietnamese Handwriting Ocr is a dataset for optical character recognition tasks, hosted on the Hugging Face platform by user manhha2502. The dataset was last updated on December 16, 2025. Its specific contents, such as the number of samples or annotation format, are not detailed in the available metadata.
Intelligent Interaction Agent Dataset V0.1 is a large-scale, multi-modal dataset designed for building AI assistants. The dataset, created by deepgo and last updated on 2025-11-03, supports tasks like vehicle interaction recognition, multi-turn dialogue, and emotion-aware agent development.
Fantastic Beasts is a dataset collected for the NeurIPS 2023 paper 'AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation'. It was created by author chaofanma and last updated on Hugging Face in October 2025. The dataset is designed to address the lack of rare or obscure vocabulary in existing segmentation benchmarks.
753 substation images with polygon mask annotations across 18 object categories, plus three additional subsets for transmission line classification and detection. The collection features drone-captured imagery specifically targeting power system infrastructure for computer vision applications.
Infinity-Doc-55K contains 55,000 real-world and synthetic scanned documents for full-text parsing, published by infly in 2025. The collection features layout variations and structural annotations across financial, medical, and academic report domains.
GRAID BDD100K is a dataset of structured question-answer pairs generated from object detection annotations in driving scenes. The dataset was created by author kd7 using the GRAID framework and was last updated on Hugging Face in October 2025. It is designed to test aspects of object localization, visual reasoning, and spatial reasoning.
EgoExoBench is a benchmark designed to evaluate cross-perspective understanding in multimodal large models. It contains synchronized and asynchronous egocentric and exocentric video pairs with multiple-choice questions. The dataset was authored by Heleun and last updated on November 3, 2025.