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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
17,713 datasets
A document from December 2020 describing the organizational structure of the Lipovodolynskyi District State Administration in Ukraine. The data is sourced from the States site of Ukraine and is available in Word document formats.
Federal Trade Commission data contains national and state-level statistics on consumer complaints regarding fraud and identity theft for calendar year 2018. The Data Book is compiled from reports made directly to the FTC and from federal, state, local, and international law enforcement partners. It includes per-capita complaint rankings for metropolitan areas.
NOAA NCEI Accession 0231693 contains discrete profile measurements of dissolved inorganic carbon, total alkalinity, pH, ammonia, temperature, salinity, dissolved oxygen, and nutrients. The data were collected during the R/V F. G. Walton Smith cruise WS20278 in the Southeast U.S. Shelf, Gulf of Mexico from October 5 to 12, 2020. These measurements support the NOAA Ocean Acidification Program's coastal monitoring objectives, focusing on the outflow of the Shark River Slough and red tide.
GNIS provides the Federal standard for geographic nomenclature, maintained by the U.S. Geological Survey for the U.S. Board on Geographic Names. It serves as the official repository of domestic geographic names data for all Federal Government use.
Discrete and sensor-based measurements of dissolved inorganic carbon, total alkalinity, and pCO2 collected to monitor ocean acidification. Data were gathered by Fisheries and Oceans Canada's Atlantic Zone Monitoring Program from the Cabot Strait to the Gulf of Maine. This submission covers a six-year period from September 2014 to October 2020.
Analytical information about the organization of work with citizens' appeals to the Izyaslavsky District State Administration in Ukraine. The dataset was published on the States site of Ukraine and last updated on December 9, 2020. The data is provided in an Excel XLSX file format.
2020 financial statements for the CP 'Saksagan' KIS, including a balance sheet as of October 1, 2020, and results for the first nine months of the year. The dataset comprises standardized reports on financial results, service fee usage, and other revenue sources, published by the States site of Ukraine. It was last updated on the platform in November 2020.
Developed by cvjena and last updated in 2021, this dataset provides a duplicate-free version of the standard CIFAR-10 and CIFAR-100 test sets. It addresses the issue of near-duplicate images between training and testing splits that can lead to inflated performance metrics in computer vision research.
A dataset from the States site of Ukraine, last updated on 2020-11-25. It contains information about the organizational structure of an information manager, structured according to an organizational and administrative document titled 'Structure and staffing'. The data is provided in an EXCEL XLSX format.
16,000 reference images and 147 query images covering 49 locations across day, evening, and night cycles for visual geo-localization research. Developed by the SUTD Visual Computing Group and updated in 2020, it serves as an annotated subset of the Tokyo 24/7 Google Street View collection.
Chechelnytsk District State Administration in Ukraine publishes reports on its organization of work with citizen appeals. The dataset, sourced from the States site of Ukraine, was last updated on November 13, 2020. The reports are available in XML and Word DOCX formats.
R111-3 is a Risk Prevention Plan (RPP) dataset for the commune of Huez-en-Oisans, approved on 13/01/1976. The data, provided by the Bureau de Recherches Géologiques et Minières, contains spatial information on areas exposed to risks and regulated zones. The dataset was last updated on the platform in October 2020.
A 1973-approved Risk Prevention Plan (RPP) for Auris-en-Oisans, France, created by the Bureau de Recherches Géologiques et Minières. The dataset contains spatial information on areas exposed to risks and restricted zones, serving as an informative layer for planning, with official authenticity residing in paper documents. It was last updated on the platform in October 2020.
A 1973-approved spatial dataset for the R111-3 Auris-en-Oisans Risk Prevention Plan (RPP). The dataset is produced by the BUREAU DE RECHERCHES GÉOLOGIQUES ET MINIÈRES and was last updated in October 2020. It contains data on areas exposed to risks and restricted zones under the plan's regulations.
Grand Marais Buoy 45172 in the Great Lakes region collected oceanographic and surface meteorological data from July 2015 to October 2020. Northern Michigan University gathered the data, which was assembled by the Great Lakes Observing System (GLOS) and submitted to NOAA's NCEI. The dataset follows CF and ACDD metadata conventions and was updated monthly during its operational period.
Great Lakes region data contains oceanographic and surface meteorological measurements collected from the University of Michigan Marine Hydrodynamics Laboratories Bio Buoy. The University of Michigan collected the data, which was assembled by the Great Lakes Observing System (GLOS) and submitted to NOAA's NCEI. Observations span from July 2014 to October 2020, with monthly updates added during the collection period.
Great Lakes station RECON Michigan, Muskegon, collected oceanographic and surface meteorological data from July 2014 to October 2020. The data was gathered by the Great Lakes Environmental Research Laboratory and assembled by the Great Lakes Observing System. It was submitted to the National Centers for Environmental Information as part of a monthly data stewardship program.
Oceanographic and surface meteorological data collected from the MTU1 Buoy, an in-situ moored station in the Great Lakes. The dataset contains netCDF files following CF and ACDD metadata conventions, collected from 2014-07-01 to 2020-10 05. Michigan Technological University collected the data, which was assembled by the Great Lakes Observing System and submitted to NOAA's National Centers for Environmental Information.
NCEI Accession 0123644 contains oceanographic and surface meteorological data from the MTU Buoy, an in-situ moored station in the Great Lakes. Michigan Technological University collected the data, which was assembled by the Great Lakes Observing System (GLOS) and submitted to NOAA's National Centers for Environmental Information. The temporal coverage spans from July 1, 2014, to October 5, 2020.
July 2014 to October 2020 data contains oceanographic and surface meteorological measurements collected from a moored buoy station in the Great Lakes by the University of Michigan. The Great Lakes Observing System (GLOS) assembled and submitted the data to NOAA's National Centers for Environmental Information (NCEI) as part of the IOOS Data Stewardship Program. Data was added monthly in netCDF files following Climate and Forecast metadata conventions.