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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,081 datasets
Ocracoke Inlet, North Carolina, is covered by a high-resolution historical shoreline dataset derived from NOAA National Ocean Service maps. The data were automated for GIS use and conform to the NGS C-COAST attribution scheme, influenced by international hydrographic standards. This dataset is a member of a larger NOAA resource collection.
NOAA's Shoreline Data Rescue Project CM-8001 provides a high-resolution historical shoreline for the Saginaw River, Michigan, suitable as a GIS data layer. The data are derived from shoreline maps produced by the NOAA National Ocean Service and its predecessors, based on imagery interpretation and field surveys. Attribution follows the NGS-developed C-COAST scheme, influenced by the S-57 standard for hydrographic data.
A high-resolution historical shoreline GIS data layer for the coast from Cape Hatteras to Ocracoke Island, North Carolina. The data were automated from shoreline maps produced by the NOAA National Ocean Service and its predecessors, based on imagery interpretation and field surveys. It uses the NGS C-COAST attribution scheme to standardize data from various sources.
A high-resolution vector shoreline dataset for the Intracoastal Waterway between Morgan City and Port Allen, Louisiana. The data was compiled from imagery by the National Oceanic and Atmospheric Administration and is structured using the NGS Coastal Cartographic Object Attribute Source Table (C-COAST) attribution scheme. This resource is part of a larger NOAA shoreline mapping program.
A high-resolution historical shoreline dataset for Manistee, Manistee Lake, and Portage Lake on Lake Michigan, suitable for GIS applications. The data were automated from shoreline maps produced by the NOAA National Ocean Service and its predecessor agencies, based on imagery interpretation and field surveys. The attribution follows the NOAA-developed C-COAST scheme, influenced by the S-57 standard for hydrographic data.
A high-resolution historical shoreline dataset for St. Joseph and Benton Harbor on Lake Michigan, Michigan, automated for use as a GIS data layer. The data are derived from shoreline maps produced by the NOAA National Ocean Service and its predecessor agencies, based on imagery interpretation and field surveys. The attribution follows the NGS-developed C-COAST scheme, influenced by the S-57 standard for hydrographic data.
NOAA's Shoreline Data Rescue Project provides a high-resolution historical shoreline for Sturgeon Bay and Canal, Lake Michigan, Wisconsin, as a GIS data layer. The data were automated from shoreline maps produced by the NOAA National Ocean Service and its predecessors, based on imagery interpretation and field surveys. The attribution follows the NGS-developed C-COAST scheme, influenced by the International Hydrographic Organization's S-57 standard.
A high-resolution historical shoreline dataset for Narragansett, Massachusetts, automated for use as a GIS data layer. The data are derived from shoreline maps produced by the NOAA National Ocean Service and its predecessor agencies, based on imagery interpretation and field surveys. The attribution follows the NGS-developed C-COAST scheme, influenced by the International Hydrographic Organization's S-57 standard.
NOAA National Ocean Service provides a high-resolution historical shoreline GIS data layer for the Saint Marys River in Michigan. The data are derived from shoreline maps based on office interpretation of imagery and/or field surveys, attributed using the NGS-developed C-COAST scheme. This resource is a member of the NOAA InPort catalog item 39808.
Narragansett Bay-East Passage, Rhode Island, is covered by a high-resolution historical shoreline dataset automated for GIS use. The data were derived from shoreline maps produced by the NOAA National Ocean Service and its predecessors, based on imagery interpretation and field surveys. The attribution follows the NGS-developed C-COAST scheme, influenced by the S-57 standard for hydrographic data.
A high-resolution historical shoreline dataset for the Eagle Harbor to Traverse Point region of Lake Superior, Michigan, automated for GIS use. The data is derived from shoreline maps produced by the NOAA National Ocean Service and its predecessor agencies, based on imagery interpretation and field surveys. It employs the NGS C-COAST attribution scheme to standardize data from various sources.
NOAA's National Geodetic Survey provides an accurate high-resolution vector shoreline for the Brigantine to Longport, New Jersey coastline. The data is compiled from imagery and structured using the Coastal Cartographic Object Attribute Source Table (C-COAST) attribution scheme. This resource is part of a larger NOAA shoreline mapping program, with metadata describing both line and point shapefiles.
The Digital Bedrock Geologic-GIS Map of the Fox Creek Quadrangle, Tennessee is a National Park Service Geologic Resources Inventory product composed of GIS data layers and tables. It is adapted from a 2015 University of Tennessee 7.5-minute series map by Scruggs et al. The dataset includes geologic unit descriptions, cross-sections, and attitude observations in multiple GIS formats.
A collection of images depicting fire and smoke, published on Kaggle. The dataset likely contains visual data for computer vision tasks. Specific details regarding size, source, and creation date are not provided in the metadata.
StyleGAN2-ADA-1000KIMG-ReFilted2 is a dataset of images likely generated by a StyleGAN2-ADA model trained for 1,000,000 images (1MIMG). The dataset appears to have undergone a 'ReFilted' post-processing step. It is hosted on Kaggle, but detailed metadata is unavailable.
StyleGAN2-ADA-1000KIMG-ReFilted_Seed75 is a dataset of synthetic images likely generated by a StyleGAN2-ADA model. The title suggests it contains images produced after 1,000,000 training iterations (kimg) with a specific random seed (75) and a filtering process (ReFilted). It is hosted on Kaggle, but the author, organization, and specific content details are unknown.
YoloBus is a computer vision dataset published on Kaggle. Its specific content, size, and creation details are not provided in the available metadata. The title suggests it is likely intended for object detection tasks involving buses.
Developed by jfilter and updated in January 2026, this repository provides a Python-based utility for partitioning file directories into training, validation, and test subsets. It automates the organization of image files into folder structures required for deep learning workflows.
India's foreign policy under Prime Minister Indira Gandhi from 1966 to 1982 is examined. The dataset, authored by Surjit Mansingh, likely contains textual analysis of India's relations with major powers and neighboring countries. It covers topics such as economic diplomacy and India's interactions with the United States, Soviet Union, Pakistan, and China.
The K2 mission observed 100 square degrees for 80 days each across 20 different pointings along the ecliptic, collecting high-precision photometry for a selection of targets within each field. The mission began in 2013 after the original Kepler mission ended due to a hardware failure. The data is hosted by the Space Telescope Science Institute and is in the public domain.