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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,527 datasets
3,000 logo categories across 158,652 images featuring 194,298 manually annotated bounding boxes. The dataset is organized into a hierarchy of common consumer sectors such as food, clothes, and electronics.
50,000 labeled images distributed across 1,000 object categories representing the validation split of the ILSVRC 2012 competition. Each record consists of a natural scene image and a corresponding integer class label mapped to a specific WordNet synset.
A collection of badminton-themed photographs categorized for object detection tasks involving shuttlecocks and rackets. The data is structured to support the visual identification of sports equipment in diverse lighting and background conditions.
25,000 labeled images of dogs and cats partitioned for binary classification tasks. The collection provides a standard benchmark for training convolutional neural networks to distinguish between two common pet species in diverse real-world settings.
Multiple categories of ovarian ultrasound images representing various pathological disorders. These images provide visual diagnostic data for identifying and categorizing specific ovarian health conditions.
37,000 vehicle images across 5 object classes with corresponding YOLO-formatted annotations. These files support the development of real-time detection models for automotive applications.
Flickr images are paired with descriptive captions for training models. The dataset is hosted on Kaggle and is used for image captioning tasks. The original creator and last update date are unknown.
Two categories of labeled facial images provide a basis for discriminating between authentic human portraits and synthetic face generations. These visual samples support the development of binary classification models and anti-spoofing algorithms for identity verification.
The Securities and Exchange Commission provides identification information for all active closed-end investment companies. This dataset lists entities with an active filing status as of the latest update in January 2026. Specific row counts and column details are unavailable from the input.
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.