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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,639 datasets
Democratic Republic of the Congo geospatial data provides FEWS NET acute food insecurity classifications for a near-term projection in 2020. The dataset was created by the Famine Early Warning Systems Network (FEWS NET) and is available in GEOJSON and KML formats. It was last updated in April 2026.
Upper Jurassic (Kimmeridgian and Tithonian) and Lower Cretaceous (Neocomian and Aptian) marine fossils collected from the Dampier Peninsula in Western Australia. The data is presented in a paper referencing publications from the 1940s to 1958, with work primarily conducted before mid-1954. The dataset is provided by Geoscience Australia Data and was last updated on the platform in March 2026.
FEWS NET geographic data classifies acute food insecurity across the Democratic Republic of the Congo for the year 2021. The dataset is provided in geospatial formats like GeoJSON and KML. It was last updated on the platform in April 2026.
An environmental analysis from 1976 examines evidence of aeolian (wind) deposition in the Jurassic Jurgurra Sandstone, a unit previously considered marine. The note describes a specific exposure near Geegully Creek, Western Australia, with an average vertical thickness of about 5 meters. This geological report is provided by Geoscience Australia Data.
A collection of 7,840 square images depicting 196 distinct car models, preprocessed from the Stanford Cars Dataset. The images were resized to 128x128 pixels using an anti-aliasing filter after being made square by duplicating border pixels to avoid information loss. The dataset was created by Philip Boser for the Meta-Album project in March 2022.
800 square images of 20 different maritime vessel classes, each resized to 128x128 pixels. This dataset is a preprocessed micro version of the larger MARVEL dataset, created by the Meta-Album project for few-shot learning benchmarks. The original data was authored by Gundogdu et al. and released in 2017, with the Meta-Album version created in March 2022.
800 satellite and aerial images across 20 land cover and scene categories, resized to 128x128 pixels. This dataset is a preprocessed subset of the larger RSD46-WHU collection, created by the Meta-Album project for few-shot learning benchmarks. The original data was collected from Google Earth and Tianditu by researchers at Wuhan University.
A 1976 research cruise by HMAS Diamantina sampled about 2000 ferromanganese nodules from the Indian Ocean floor southwest of Cape Leeuwin. The deposit, discovered in 1970 and estimated to cover approximately 900,000 km², was studied for its chemistry and mineralogy. Data likely originates from Geoscience Australia.
Eastern Australia's Sydney, Gunnedah, and Bowen Basins contain data on Late Permian coal measures correlated using eustatic sea-level changes. The dataset, from Geoscience Australia, identifies specific formations like the Dempsey Formation and Black Alley Shale deposited during the same highstand. It was last updated on 2026-03-25.
Ontario's housing supply data tracks new home starts against municipal housing targets. The dataset includes reviewed and adjusted figures for 2023 and 2024, published by the Government of Ontario. Data was last updated in February 2026.
EgoVista Pilot v0.2 is an annotations-only dataset for first-person human activity analysis, generated by the EgoVista pipeline. It contains per-frame annotations including 2D pose and hand keypoints, 3D hand keypoints, 16-bit depth maps, segmentation masks, contact flags, and action labels. The dataset was created by author Leodocr and last updated on Hugging Face in May 2026.
A large-scale, multi-modal geospatial dataset for monitoring the brick manufacturing industry in Bangladesh. It contains approximately 200,000 files derived from 2.22 m/pixel Bing satellite imagery, covering all 64 administrative districts across a total area of 147,570 km² for the years 2019 and 2023. The dataset, created by Rashid, Sami of CCDS, provides three annotation modalities: segmentation masks, detection bounding boxes, and technology-type labels.
Meta_Album_RSD_Extended is a preprocessed remote sensing image dataset containing 43,825 images across 43 scene categories. The data was originally collected from Google Earth and Tianditu by researchers at WHU and resized to 128x128 pixels for the Meta-Album benchmark. The dataset is released under a CC BY-NC 4.0 license for research and non-profit purposes.
Meta_Album_ACT_410_Extended is a preprocessed version of the MPII Human Pose benchmark dataset containing 2,402 images of people performing 410 distinct everyday activities. The images, originally sourced from YouTube videos, have been resized to 128x128 pixels and annotated with body joints and activity labels. The dataset was created by Mykhaylo Andriluka et al. in 2014 and later adapted for the Meta-Album few-shot learning collection in 2022.
Meta_Album_TEX_DTD_Extended is a preprocessed version of the Describable Textures Dataset (DTD) from the University of Oxford. It contains 5,640 images across 47 texture categories, sourced from Google and Flickr and annotated via Amazon Mechanical Turk. The Meta-Album version, created by Ihsan Ullah in March 2022, crops and resizes all images to 128x128 pixels.
1520 images across 38 scene categories, resized to 128x128 pixels, from the RSD46 remote sensing collection. The dataset was preprocessed for the Meta-Album benchmark by Phan Anh VU in March 2022. Original images were collected from Google Earth and Tianditu by researchers at Wuhan University.
NASA used microarray technology to investigate genome-wide expression changes in the C. elegans CC1 strain. The dataset includes three technical replicates of wild-type worms exposed to space radiation, analyzed alongside ground control samples. The data was last updated on March 13, 2026.
2002 to 2014 data tracks prenatal, postpartum, and early childhood screens administered by Ontario public health regions. Phase 1 counts screens by calendar year, region, screen name, and family entry stage, while Phase 2 reports percentage 'Yes' responses to 36 specific screening questions.
Ontario data tracks the number of youth in custody and detention facilities. It is organized by open and secure facility types, gender, and former Youth Justice Services Division regions. The dataset is provided by the Government of Ontario.
Newcomer Settlement Program data details funding provided by the Government of Ontario to settlement agencies across the province. The data includes organization names, locations, and grant amounts issued to help newcomers settle and integrate into Canadian society. The dataset was last updated on March 25, 2026.