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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,085 datasets
A collection of medical images depicting various skin conditions. The dataset is intended for multi-class classification tasks. It was sourced from Kaggle, but the author, organization, and specific details like size and license are unknown.
A dataset likely containing images for training and evaluating YOLO (You Only Look Once) object detection models. The dataset is hosted on Kaggle, but its specific contents, scale, and origin are not detailed in the provided metadata. Metadata is minimal; actual content requires verification after download.
kaiyuyue created evaluation artifacts for the paper 'Image Generation with a Sphere Encoder'. The artifacts include data statistic files and reference images used to calculate Frรฉchet Inception Distance (FID) for generative models. The artifacts cover several datasets, including CIFAR-10, ImageNet, Animal Faces, and Oxford Flowers.
inGeniia's dataset of annotated images with bounding boxes is designed for training real-time object detection models. It is part of a Deep Learning course and is used to teach modern CNN architectures like YOLO and build a Smart Checkout project. The dataset was last updated on March 3, 2026.
MC-OCR-convert-2 is a dataset hosted on Kaggle. The title suggests it contains data related to converting documents or images through optical character recognition processes. Specific details regarding its size, origin, and contents are not provided in the available metadata.
Dataset Kematangan Pisang translates to 'Banana Ripeness Dataset' in English. It is hosted on Kaggle, but the author, organization, and specific collection details are not provided. The dataset's content and scale must be verified after download.
Kaggle hosts the exp38_sage_morgan_v2_data dataset. The title suggests it contains data from a computer vision experiment, likely involving images. Specific details on its contents, size, and creation are unavailable from the provided metadata.
Multi-class video object tracking records focused on traffic scenes. The dataset is hosted on Kaggle, but specific details about its size, creation date, and authorship are not provided in the available metadata. Its content likely consists of annotated video sequences for detecting and tracking objects like vehicles and pedestrians.
LCNN-EP48 is a computer vision dataset published on Kaggle. The title suggests it may be related to evaluating or benchmarking convolutional neural network (CNN) models. Specific details regarding its contents, size, and creation are not provided in the available metadata.
RxnBench-Doc is a document-level question answering benchmark containing 540 multiple-select questions. It assesses PhD-level understanding of organic chemistry reactions using textual and multimodal contexts, with all questions reviewed by experts for scientific rigor.
Seven low-temperature laboratory experiments captured mixing of miscible fluid pairs representing magma compositions. Temporal series of photographs document the spatial evolution of density and mixing within a dyke-like slot geometry. The experiments were conducted at the University of Liverpool and support research described in a 2025 volcanology paper.
British Geological Survey data contains strontium/calcium, magnesium/calcium, lithium/calcium, and boron/calcium ratios for 107 aragonite samples precipitated in vitro. Samples were precipitated using a pH stat titrator with the constant composition technique between August 2020 and April 2022, with measured seawater pH and dissolved inorganic carbon used to estimate aragonite saturation state.
Research data from the CO2CRC Otway injection site in Australia focuses on quantifying CO2 storage via residual and dissolution trapping. The dataset, produced by the British Geological Survey, supports analysis of water geochemistry and site-specific rock properties to measure secure CO2 storage.
Stakeholder profiling data combines over 30 interviews from a 2010 UK carbon capture and storage project. The material identifies key stakeholder groups and their knowledge needs, influence potential, and preferred information methods. It was produced by the Scottish CCS Consortium as part of a Front End Engineering and Design study.
Synthetic Visual Genome 2 (SVG2) provides spatio-temporal scene graphs for approximately 636,000 videos sourced from PVD and SA-V splits. Created by UWGZQ and released in 2026, the dataset integrates object labels, attributes, and instance-level segmentation masks for panoptic video analysis.
A list of Key Sustainability Indicators (KSIs) for arts and cultural organizations, categorized by governance, social, and environmental spheres. The dataset includes indicator descriptions and measurement units, developed by author Greta Ortalli. It was last updated in March 2026.
Time-series water sensor measurements from the NWFSC Mukilteo pier, including pCO2, pH, temperature, salinity, and dissolved oxygen. The dataset is intended to support coupled biological and carbon chemistry sampling for free-living organisms and settlement plate experiments. Data collection was set to begin online in the winter of 2012-13.
BSIP Lab at NIT Rourkela organized this practice dataset for the SIP 2026 program. The dataset is intended for student training and project work. Its specific contents, size, and creation date are not detailed in the available metadata.
This dataset supports socioeconomic analyses for counties in the Permian Basin region of Texas and New Mexico. It was compiled for the Permian Energy Development Lab (PEDL) and organizes metrics into four categories: Socioeconomics, Health & Wellbeing, Jobs & Workforce, and Energy Infrastructure & Potential. The data originates from multiple published sources including SLOPE, LEAD, Rural Atlas, EJScreen, and Census data.
YOLO Detector de Placas is a dataset for object detection tasks, likely containing images of license plates. It is hosted on the Kaggle platform. The dataset's author, organization, and specific details such as size and license are currently unknown.