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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,121 datasets
A collection of information on usage, payments, submitted charges, and beneficiary characteristics for Medicare Part B Durable Medical Equipment, Prosthetic, Orthotics and Supplies (DMEPOS) claims, organized by supplier National Provider Identifier (NPI). It is based on 100% final-action DMEPOS non-institutional claim line items from the CMS Chronic Conditions Data Warehouse. The data is published by the Center for Medicare & Medicaid Services.
The dataset contains information about the organizational structure of the Secretariat of the Ukrainian Parliament Commissioner for Human Rights. It is structured according to the organizational and administrative document "Structure and staffing" and is provided by the States site of Ukraine. The dataset was last updated on 2026-02-20 07:32:21.759502.
Community-sourced repository of coral reef image classification training data. The dataset includes continually updated confirmed annotations from the MERMAID organization. It is hosted on AWS Open Data and available in S3 file formats.
WMDP contains between 1,000 and 10,000 multiple-choice questions across biology, chemistry, and cybersecurity domains for evaluating hazardous knowledge in language models. Created by Joschka and based on Arxiv paper 2403.03218, it includes domain-specific configurations and pre-computed splits. The dataset is licensed under MIT and was last updated in March 2026.
This dataset analyzes the relationship between droughts and city-level unrest in Europe from 900 to 1800 CE. It examines the non-linear impact of drought severity on conflict probability and the moderating role of different local government types, such as elected councils or burgher representation.
This dataset analyzes the relationship between droughts and city-level unrest in Europe from 900 to 1800 CE. It examines the non-linear impact of drought severity on conflict probability and the moderating role of different local government types, such as elected councils or burgher representation.
A 2017 dataset for face recognition across pose and age, created by Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, and Andrew Zisserman. The dataset is hosted on Hugging Face by the user ProgramComputer and was last updated on the platform in February 2026. It is derived from the original VGGFace2 research paper published on arXiv.
A medical image dataset focused on lower limb anatomy, specifically for deep vein thrombosis. The description mentions categories including CFV, GV, PV, and FV, and references a ThrombUS+ SPLIT. It is hosted on Kaggle, but details on the creator, size, and license are unknown.
A collection of the U.S. Congressional district boundaries for the state of Michigan, as established after the 2010 decennial census. It is provided by the City of Ferndale, Michigan, and was last updated in March 2026. The data is available in multiple geospatial formats including GeoJSON, KML, and via an ArcGIS REST API.
The legislative district boundaries for the Michigan House of Representatives created after the 2010 decennial census. It is provided by the City of Ferndale, Michigan, and includes multiple geospatial file formats.
Aggregating the State Senate legislative district boundaries for Michigan, created after the 2010 decennial census. The data is provided by the City of Ferndale, Michigan, and was last updated in March 2026.
88 distinct military aircraft classes are included in this dataset, which is designed for training high-performance object detection and image classification models. The dataset was curated by Ahnuf and last updated on February 11, 2026. It is intended for real-world deployment scenarios.
FasterRCNN OneShot Dataset is a computer vision dataset published on Kaggle. The title suggests it is intended for object detection tasks, likely using the Faster R-CNN architecture. The dataset's specific contents, scale, and origin are not detailed in the available metadata.
A dataset titled 'best_NO_pgd_PER_SEGMENT_MITBIH_GAN_model_93' is hosted on Kaggle. The title suggests it contains data related to the MIT-BIH arrhythmia database and a Generative Adversarial Network (GAN) model. Metadata such as columns, size, and license are unknown, requiring verification after download.
A dataset published on Kaggle, likely containing images annotated for object detection. The title references the YOLO (You Only Look Once) family of models, suggesting it is intended for training or benchmarking object detection systems. Specific details on size, source, and creation date are unavailable from the provided metadata.
Cancer Image Dataset Part 1 is a collection of medical images related to oncology, hosted on Kaggle. The dataset's specific content, size, and provenance are not detailed in the available metadata. Its intended use appears to be for computer vision tasks in a medical context.
Cancer Image Dataset Part 2 is a collection of medical images related to oncology, published on Kaggle. The dataset's specific content, scale, and origin are not detailed in the available metadata. Users must download the dataset to verify its exact composition, format, and intended use.
yolo-1-2-3-4-5-scaled-model is a dataset hosted on Kaggle. The title suggests it contains data related to the YOLO (You Only Look Once) family of object detection models, versions 1 through 5. The dataset's specific content, scale, and creator are unknown from the provided metadata.
Indian Sign Language image dataset published on Kaggle. The dataset likely contains visual representations of signs used in Indian Sign Language, intended for computer vision tasks. Metadata is minimal; actual content, scale, and annotation details require verification after download.
A collection of model weights for the YOLO11 object detection architecture, published on Kaggle. The dataset likely contains the pre-trained parameter files necessary for inference or transfer learning. Specific details on the training data, model versions, or performance metrics are not provided in the metadata.