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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,754 datasets
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.
A three-dimensional bubbly vertex model introduces a cellular bulging instability at topological defects, which is stronger than in standard vertex models. The dataset, authored by Oliver M. Drozdowski and harvested by heiDATA, was last updated on April 21, 2026. It is used to study the interplay between cell extrusion and curvature in epithelial tissues, with analysis informed by three-dimensional imaging data of spherical mouse colon organoids.
A global monthly climatology of oceanic total dissolved inorganic carbon (DIC) was created using a neural network trained on GLODAPv2.2019 and LDEOv2016 data. The model uses predictor variables including position, temperature, salinity, and nutrients to produce a grid with 1°x1° spatial resolution and 102 depth levels. The dataset was published by the National Oceanic and Atmospheric Administration (NOAA) and last updated in March 2026.
Hongwei Li's dataset presents properties of organic-inorganic hybrid scintillating glasses designed for high-energy particle detection. The glasses are described as highly transparent, homogeneous, and size-customizable, with enhanced scintillating efficiency and rapid luminescence decay. Their low density enables selective α-particle detection and minimized γ-ray interference, and they can be doped for thermal neutron detection.
Axis-V1 is a high-quality curated dataset of 1,000 high-resolution images, each paired with a dense, professional descriptive caption. Developed by refine-axis, it is designed for training advanced AI models. The dataset was last updated on April 8, 2026.
Measurements taken for the purpose of validating remote-sensing-derived particulate organic carbon. The dataset is hosted by the NASA OB_DAAC organization and is present on multiple platforms including NASA Earthdata and Data.gov. Its most recent update was recorded as March 12, 2026.
A dataset of preferences and opinions from farmers belonging to a cooperative organization. The dataset is 104.3 KB in size and was authored by Prakash M C. It was last updated on 2026-04-18.
Grants to Voluntary and Community Sector organisation is a dataset published on the eu_open_data platform. The dataset likely contains records of financial grants awarded to nonprofit organizations. It is provided by the Government Digital Service under the Open Government Licence.