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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,121 datasets
Monthly lists of normative legal acts and acts of individual action adopted by ARMA, the Asset Recovery and Management Agency of Ukraine, which are subject to disclosure as open data. The dataset is published on the EU Open Data platform and was last updated on March 2, 2026. The data likely contains official documents detailing agency decisions and regulations.
A dataset from OpenML with the identifier 'cnn-stock-pred-sp'. No information is available on its contents, size, or structure.
A dataset from OpenML with the title 'cnn-stock-pred-russell'. No information is available on its contents, size, or structure.
A dataset from OpenML with the title 'cnn-stock-pred-nyse'. No information is available on its contents, size, structure, or origin.
A dataset from OpenML with the title 'cnn-stock-pred-nasdaq'. No information is available on its contents, size, or structure.
A dataset from OpenML with the title 'cnn-stock-pred-dji'. No information is available on its contents, size, or structure.
A spatial data layer of submerged aquatic vegetation (SAV) in Lake Michigan. This data set comprises a portion of the Environmental Sensitivity Index (ESI) data, which characterizes coastal environments by their sensitivity to spilled oil. It was published by the National Oceanic and Atmospheric Administration (NOAA) and last updated in March 2026.
Kaggle hosts a dataset titled 'keypoints', which likely contains coordinate data for visual features. The dataset's author, organization, and specific collection details are not provided in the available metadata. Its size, format, and last update date are also unknown.
Two geospatial datasets (points and lines) from NOAA characterize human-use resources in Lake Michigan for Environmental Sensitivity Index (ESI) mapping. The data includes access locations, boat ramps, ferry terminals, dams, marinas, ports, and ferry routes to assess sensitivity to oil spills. It is part of a broader ESI data collection for the Lake Michigan coastal zone.
National Oceanic and Atmospheric Administration (NOAA) data characterizing Lake Michigan's coastal environments by their sensitivity to oil spills. The dataset includes two spatial layers: RESOURCE_POINT for human-use sites like aquaculture and recreational fishing, and RESOURCE_POLY for designated critical and essential habitats. It forms part of the Environmental Sensitivity Index (ESI) data, last updated in March 2026.
This data set contains human-use or management resource data for National Forests, Management Areas, Marine Sanctuaries, Nature Conservancy Lands, National Parks, State Parks, and National Wildlife Refuges in Lake Michigan. Vector polygons in this data set represent park or managed area features. It comprises a portion of the ESI (Environmental Sensitivity Index) data for Lake Michigan, characterizing marine and coastal environments by their sensitivity to spilled oil.
POLITICAL_POINT, POLITICAL_POLY, and POLITICAL_LINE data sets contain human-use and management resource data for Lake Michigan, including Coast Guard units, tribal land boundaries, and state borders. These sets form part of the Environmental Sensitivity Index (ESI) data for Lake Michigan, characterizing coastal environments by their sensitivity to oil spills. The data was published by the National Oceanic and Atmospheric Administration and last updated on March 13, 2026.
This collection features deep learning techniques and imagery for earth observation, maintained by the satellite-image-deep-learning organization as of March 2026. It integrates Sentinel satellite data and aerial imagery for training convolutional neural networks in remote sensing tasks such as object detection and image classification.
VGG Transformer BRATS METs Best Model is a machine learning model artifact for medical image analysis, likely related to the BRATS brain tumor segmentation challenge. The model appears to combine VGG convolutional architectures with Transformer networks. It is hosted on Kaggle, but its specific architecture details and training data are not provided in the minimal metadata.
Featuring information on usage, payments, and submitted charges for Medicare Part B Durable Medical Equipment, Prosthetic, Orthotics and Supplies (DMEPOS). It is based on 100% final-action non-institutional claim line items from the CMS Chronic Conditions Data Warehouse. The data is organized by supplier National Provider Identifier (NPI), Healthcare Common Procedure Coding System (HCPCS) code, and supplier rental indicator.
Information on usage, payments, and submitted charges for Medicare Part B Durable Medical Equipment, Prosthetic, Orthotics and Supplies (DMEPOS). It is based on 100% final-action non-institutional claim line items from the CMS Chronic Conditions Data Warehouse. The data is organized by supplier National Provider Identifier (NPI), Healthcare Common Procedure Coding System (HCPCS) code, and supplier rental indicator.
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.
Aggregating 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.