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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,790 datasets
1,596 images of healthy leaves from 26 medicinal plant species, captured on a uniform white background. The dataset is a processed version of the Medicinal Leaf Database, with images center-cropped and resized to 128x128 pixels for use in Meta-Album, a benchmark for few-shot image classification. It was created by Phan Anh VU in March 2022, based on original data from S Roopashree and J Anitha released in 2020.
Meta_Album_DOG_Micro is a preprocessed subset of the Stanford Dogs Dataset, containing 800 square images across 20 dog breeds. The original dataset was created by researchers from Stanford University for fine-grained image categorization, with images sourced from ImageNet. This micro version was created by Dustin Carrion in March 2022, with images cropped and resized to 128x128 pixels.
A collection of 1,000 images of healthy leaves from 25 medicinal plant species, created for few-shot learning benchmarks. The dataset was derived from a larger source of approximately 1,800 images captured on a mobile phone and was preprocessed by Meta-Album in March 2022. Original data was released by authors S Roopashree and J Anitha in 2020.
OmniPrint-MD-mix is a synthetic dataset of 28,240 RGB images (128x128 pixels) across 706 character categories, designed for few-shot learning benchmarks. Created by Haozhe Sun using the OmniPrint synthesizer in June 2021, it applies a specific set of nuisance parameters like perspective transformation, rotation, and color variations to images of photos taken by a personal mobile phone. The dataset is released under a CC BY 4.0 license as part of the Meta-Album multi-domain collection.
Meta-Album OmniPrint-MD-6 is a micro benchmark dataset containing 800 synthetic RGB images of characters across 20 categories, each sized 128x128 pixels. It was synthesized using the OmniPrint tool with specific parameters like perspective transformation and random rotation. The dataset was created by Haozhe Sun and released under the Meta-Album project in June 2021.
Giving access to science and technology indicators for Sint Maarten (Dutch part), sourced from the World Bank Group and updated through March 2026. It aggregates metrics on research and development, intellectual property, and high-technology exports from international organizations including UNESCO, IMF, and WIPO.
This dataset tracks science and technology indicators for Eswatini, compiled by the World Bank Group from multiple international authorities. It aggregates metrics on research and development, intellectual property, and high-technology trade updated through March 2026. The data is sourced from organizations including UNESCO, the IMF, and the World Intellectual Property Organization.
Delivering science and technology indicators for Sweden, aggregated by the World Bank Group from sources including UNESCO, IMF, and WIPO. It tracks metrics such as research and development spending, patent applications, and high-technology exports in a CSV format. The data was last updated in March 2026.
Slovenia Science and Technology indicators aggregated by the World Bank Group, with the latest update recorded in March 2026. The data tracks national innovation through metrics such as R&D spending, patent applications, and high-technology exports sourced from UNESCO, WIPO, and the IMF.
Science and technology indicators for the Slovak Republic include metrics on R&D, patent filings, and high-technology exports sourced from the World Bank Group. Updated as of March 2026, the data aggregates figures from international bodies like UNESCO and WIPO into a single CSV file. It serves as a centralized record of the country's technological base and academic output.
Suriname Science and Technology indicators provided by the World Bank Group, last updated in March 2026. The data tracks national innovation metrics including research and development expenditures, patent filings, and high-technology exports. It aggregates statistics from multiple international bodies like UNESCO and WIPO into a single CSV format.
Kim, Jeongsu from the Texas Data Repository provides angular scattering measurements of a scattering phantom, C. elegans, intestinal organoids, and zebrafish embryo. The dataset includes complex-field measurements and parameters for the imaging system and the MSBP-based inverse scattering method. It was last updated on 2026-04 27 and is associated with a 2025 bioRxiv preprint and a GitHub repository for the inverse scattering code.
Capital District Transportation Authority (CDTA) operational data from 2009 onward. The dataset includes monthly metrics on ridership, miles operated, accidents, maintenance inspections, and customer complaints. It is published by data.ny.gov and was last updated on March 19, 2026.
An organogram (organization chart) showing all staff roles within the North Sea Transition Authority. Names and salaries are also listed for Senior Civil Servants. The dataset was last updated on 2026-04 13 and is published under the OGL-UK-3.0 license.
Enhanced resolution C-band scatterometer data processed using a Scatterometer Image Reconstruction (SIR) technique developed by Dr. David Long at Brigham Young University. This dataset provides gridded Sigma-0 measurements and statistical parameters like standard deviation and average incidence angle, originally distributed on tape and now available via FTP. The National Aeronautics and Space Administration is the listed organization for this record.
Annual reports for the Capital District Transportation Authority (CDTA) from 2007 onward, published by data.ny.gov. The dataset includes four columns tracking the organization's operational scale and financial position over time. Data is available in multiple formats including CSV, JSON, XML, and RDF.
NARSTO STIFS data includes mass and water soluble organics and inorganics, speciated volatile organic carbon gas phase measurements, and PM2.5 mass concentrations. The dataset was collected during the Summer-Winter-Summer of 2001-2002 across regions from SW Ontario to SW Quebec and the Saturna/Vancouver area. It was produced by the NARSTO partnership, a public/private consortium spanning North America, and is archived by NASA.
118 whole-cell imaging datasets from 89 published studies are cataloged in this metadata collection. Mary Mirvis compiled this structured inventory, which details imaging modalities, cell types, and sample sizes. The dataset was published on the figshare platform in April 2026.
North Atlantic Ocean and North Greenland Sea surface underway data from the vessel SKOGAFOSS, spanning 2003 to 2007. The dataset contains measurements of carbon dioxide partial pressure, dissolved inorganic carbon, alkalinity, nutrients, salinity, and temperature. These observations were collected as part of a sustained time-series effort to monitor ocean carbon uptake and acidification.
From March 8 to April 17, 2010, this dataset contains discrete sample and profile data collected aboard the NOAA Ship Ronald H. Brown in the North and South Atlantic Ocean. It includes measurements of carbon system parameters like dissolved inorganic carbon, alkalinity, and pCO2, alongside tracers such as CFCs, SF6, and stable isotopes. The data were collected as part of the International CLIVAR Global Ocean Carbon and Repeat Hydrography Program to quantify changes in ocean heat, freshwater, and carbon storage.