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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,537 datasets
HouseLayout3D is a benchmark dataset for 3D layout estimation derived from real-world building scans. It provides detailed annotations of structural elements across large-scale, multi-floor buildings, with up to five floors and forty rooms per building. The dataset was created by the HouseLayout3D project and was last updated in December 2025.
A dataset of 15,500 images containing 60,991 annotated objects for detecting personal protective equipment (PPE) in construction environments. It is formatted for YOLOv8 and includes three classes: helmet-wearing, head (no helmet), and vest-wearing. The dataset was created by jhboyo and last updated on November 21, 2025.
A sample of approximately 100 synthetic frames depicting aggressive behaviors and fighting poses from CCTV angles. The dataset is pre-labeled in YOLOv8 Pose Estimation format with bounding boxes and 17 keypoints per instance. It was created by Simuletic and last updated on November 26, 2025.
PASCAL VOC 2007 and 2012 are benchmark datasets for object detection and image classification. The original dataset is aggregated on Kaggle. The specific number of images and annotations is not provided in the available metadata.
A list of national professional and industry associations includes names, website URLs, and related occupation and industry codes. The data is compiled by the U.S. Department of Labor and was last updated in January 2026. It links associations to specific industries and occupations.
NVIDIA released this collection of OpenUSD 3D assets and a CSV catalog in May 2025 for physical AI and robotics simulation. The dataset contains under 1,000 SimReady warehouse-themed assets accompanied by preview images and metadata.
38,076 synthetically generated samples for training controllable image generation models to use multiple visual references. The dataset was created by ONE-Lab to facilitate research in generative AI and was last updated on November 26, 2025.
A dataset of receipt images and likely associated optical character recognition (OCR) text, published on Kaggle. The dataset's intended purpose is to support tasks in automated expense management and document understanding. Specific details on volume, collection method, and authorship are not provided in the available metadata.
14,197,122 images organized into 21,841 WordNet synset categories for visual object recognition. The collection includes over 1 million images with hand-annotated bounding boxes and spans a diverse range of categories from natural organisms to human-made artifacts.
MolParser-7M contains approximately 8 million paired molecule images and chemical structure strings, developed by UniParser for the ICCV 2025 paper "MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild." The collection features a pre-training subset of 7.7 million synthetic images paired with a specialized extended-SMILES format.
A high-quality, annotated dataset for Personal Protective Equipment detection in industrial and construction environments. The dataset contains images annotated with six PPE classes: Vest, Safety Shoe, Mask, Helmet, Goggles, and Gloves. It was uploaded by author 51ddhesh to Hugging Face and last updated on 2025-11-27.
Intel Image Dataset is a collection of images for classifying scenes as natural or urban. The dataset is hosted on Kaggle and is associated with computer vision tasks. Specific details on size, collection method, and timeliness are not provided in the available metadata.
A benchmark dataset for multispectral object detection. The dataset is published on Kaggle and likely contains paired image data from multiple spectral bands. The author, organization, and specific scale are unknown.
A collection of medical images for skin disease classification. The dataset is published on Kaggle and likely contains images organized into 10 distinct diagnostic categories. Details on the collection source, time period, and specific conditions are not provided in the available metadata.
SteadyDancer is a dataset for human image animation, focusing on harmonized and coherent motion generation while preserving the first frame. It was created by researchers from Nanjing University and Tencent and was last updated on November 27, 2025. The dataset likely contains sequences of human images or videos for training and evaluating animation models.
Orthographic aerial photography tiles provide georeferenced imagery for the city of Winnipeg. The dataset includes links to image files with associated metadata such as Year, Season, Resolution, and Location. It is published by data.winnipeg.ca and was last updated in October 2025.
Niantic Labs published this benchmark in 2022 for the ECCV paper 'Map-free Visual Relocalization,' which focuses on estimating metric pose relative to a single reference image. The dataset provides a standardized evaluation framework for visual relocalization tasks that do not rely on pre-existing 3D maps or scene-specific training. It includes image pairs and ground truth 6DoF relative poses to facilitate research in map-free navigation.
Annual cost report data from home health agencies, including facility characteristics, utilization, and financial statements. The dataset is organized by CMS Certification Number and was last updated in December 2025. It is provided by the U.S. Department of Health & Human Services.
A public use file provides select measures from skilled nursing facility annual cost reports. It includes provider information, facility characteristics, utilization data, cost and charges by cost center, Medicare settlement data, and financial statement data organized by CMS Certification Number. The dataset is produced by the U.S. Department of Health & Human Services and was last updated in December 2025.
StreamingQA-120K is a large-scale dataset containing 1.28 million videos sourced from WebVid, InternVid, and Panda-70M. It was created by the author 'interlive' and last updated in December 2025. Videos are grouped by similarity for evaluating models on streaming video understanding tasks.