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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,733 datasets
Beginning in 1999, this dataset lists awards from the Hudson River Estuary Grants Program. It includes details such as year, county, amount, grant category, location, and project name for each funded initiative. The program is managed by the New York State Department of Environmental Conservation.
Over two decades of grant awards from a New York State environmental conservation program are documented in this dataset. It lists project funding details, including year, county, amount, category, location, and project name. The New York State Department of Environmental Conservation manages the program, which began in 1987.
Reports contain race- and identity-based data analyses from Ontario's correctional services, mandated by the Anti-Racism Act, 2017. They are published by the Ministry of the Solicitor General to comply with Standard 36 of Ontario’s Anti-Racism Data Standards. The reports are updated periodically, with the latest metadata update noted in February 2026.
Supplementary Material 2 from a global bibliometric analysis on the crosstalk between intratumoral microorganisms and liver cancer. The dataset is a 100.8 KB XLSX file published on figshare by Huaxiang Jiang under a CC-BY-4.0 license, last updated on 2026-04 -20. The specific row count and column details are unknown.
Additional file 1 from a bibliometric visualization analysis of global research on the crosstalk between microbiota and liver cancer. The dataset is a 261.4 KB XLSX file published on figshare by Huaxiang Jiang under a CC-BY-4.0 license and last updated on 2026-04-20. The specific content and row count are not detailed in the provided metadata.
NASA's Ocean Biology DAAC produces near real-time (quicklook) products for global particulate inorganic carbon (PIC) using Suomi-NPP VIIRS satellite data. The data provides a snapshot from a short time period within a single orbit, processed with the best-available ancillary meteorological and ozone data. Inputs and calibration are described as less than optimal compared to final science products.
Aggregating chemical compound data from a drug discovery project targeting MTHFD enzymes for Acute Myeloid Leukemia (AML) therapy. It includes information on a highly selective MTHFD2 inhibitor (compound 31) and a dual MTHFD1/2 inhibitor (compound 34), identified through systematic structure-activity optimization and X-ray crystallography analysis. The dataset is published on figshare under a CC BY-NC 4.0 license by author Hao Lin.
Monthly population movement extracts for internally displaced persons in the Democratic Republic of the Congo, produced by OCHA DRC. The data includes counts of displaced persons and households, filtered from a global database using a two-year assessment window. The dataset was last updated on March 3, 2026.
Geoscience Australia produced a selection of images and short animations explaining key aspects of the 2004 Indian Ocean tsunami. The resources were revised and released on the tenth anniversary of the disaster for media and interested organizations. This collection updates existing resources previously released by the organization.
Revenue data is organized across 13 accounting periods, including a final adjustment period for year-end reporting. Records are categorized by fund, type, department, source, and organization. The dataset is published by data.nj.gov for fiscal transparency and was last updated in March 2026.
A 5.5 KB Excel file containing confidence and parameter metrics for YOLO models used in Codling Moth detection. The dataset was authored by Mohamed Zarboubi and last updated on April 15, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Performance metrics of YOLO models for Codling Moth detection. The dataset is a 5.5 KB Excel file authored by Mohamed Zarboubi and shared on figshare under a CC-BY-4.0 license. It was last updated on April 15, 2026.
A subset of the MARVEL dataset, this collection contains 1,040 square images of 26 different maritime vessel classes, each resized to 128x128 pixels. The dataset was preprocessed from the original MARVEL dataset by Dustin Carrion for the Meta-Album project in March 2022, with images adjusted to be square without cropping. It is intended for few-shot image classification tasks within the vehicles domain.
Discrete profile measurements of dissolved inorganic carbon, total alkalinity, temperature, salinity, dissolved oxygen, nutrients, and delta C13 were collected during the R/V Aurora Australis cruise AA9706 in the Southern Ocean from 1998-02-28 to 1998-04-01. The data were collected by researchers from CSIRO, UNSW, and the University of Tasmania as part of the World Ocean Circulation Experiment (WOCE) Hydrographic Program. The final WOCE collection from this period covers approximately 23,000 stations from 94 cruises.
800 images of 19 different human tissue types, derived from the PanNuke dataset for nuclei segmentation. The images have been resized to 128x128 pixels and underwent stain normalization to reduce bias. This version was prepared by the Meta-Album project for classification tasks in March 2022.
A preprocessed subset of the MPII Human Pose benchmark containing 1,160 images of people performing 410 distinct activities, with each image labeled for activity classification. The dataset was created by Mykhaylo Andriluka and colleagues at the Max Planck Institute for Informatics and released in 2014. All images have been resized to 128x128 pixels as part of the Meta-Album collection for few-shot learning.
PanNuke is a collection of 7,753 histology images across 19 different human tissue types, originally designed for nuclei instance segmentation and classification. The Meta-Album version contains 760 images resized to 128x128 pixels and transformed into a tissue classification task, with stain normalization applied to reduce bias. The dataset was created by Jevgenij Gamper et al. and released in 2019, with a Meta-Album adaptation by Romain Mussard in March 2022.
1,880 square images of textures, preprocessed from the Describable Textures Dataset for the Meta-Album meta-dataset. The data consists of 47 texture categories, with images cropped and resized to 128x128 pixels. Ihsan Ullah created this version in March 2022, based on original data collected by researchers at the University of Oxford from Google and Flickr.
MPII Human Pose Dataset is a benchmark for articulated human pose estimation, containing around 25,000 images with over 40,000 annotated people. This Meta-Album Micro version includes 800 images across 20 classes, resized to 128x128 pixels, each labeled for one of 410 human activities. The dataset was created by Mykhaylo Andriluka et al. and released in 2014, with this processed version created in March 2022.
Seven fish species, including winter flounder and Atlantic herring, are sampled for biological data on the continental shelf. The National Oceanic and Atmospheric Administration maintains this database, with data collected primarily from fishermen in the NECRP Study Fleet and other research programs. It includes physical measurements, age, fecundity estimates from gonad samples, and energetic condition data.