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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,825 datasets
An exploratory study of clinical and environmental bacterial strains from Ghanaian tertiary hospitals exposed to extreme pH, temperature, osmotic, and antibiotic stress. Growth kinetics were monitored via OD600 and CFU, and persister-like cell formation was assessed using time-kill assays at 2 × MIC antibiotic conditions. Comparative whole genome sequencing captured genomic changes in stress-recovered isolates relative to parental strains.
Clinical and environmental strains of Escherichia coli and Morganella morganii from Ghanaian tertiary hospitals were exposed to extreme temperatures, pH, and osmotic stress. The exploratory study monitored growth kinetics, assessed persister-like cell formation under antibiotic challenge, and captured genomic changes via comparative whole genome sequencing. The work was authored by Tosin Yetunde Senbadejo and last updated in March 2026.
Replication Data for 'The Impact of Populist Incumbents on Democratic Contestation: Ideas or Strategy?' by Hawkins, Kirk Andrew. The dataset supports a comparative study testing ideational versus political-strategic approaches to populism against democratic decline. It was last updated on 2026-05-01.
A benchmark dataset for optical character recognition and document understanding, created by Timokerr and last updated on 2026-04-22. It contains source PDFs and corresponding JSON ground truth labels for documents across three domains: invoices, receipts, and logistics. The dataset is designed for benchmarking performance across 17 LLM models.
A dataset examining the communication techniques of European Union interest groups. The data likely contains variables related to organizational characteristics and the policy process phase. It was uploaded to Harvard Dataverse by an anonymous author and last updated on May 19, 2026.
10,343 real-world images are organized into 139 semantic categories, including animals, vehicles, and everyday scenes. The dataset was created by darshvit20 for experiments in semantic image retrieval and multimodal embedding search. It was last updated on April 10, —.
20,480 preprocessed images of dogs across 120 distinct breeds, originally sourced from the Stanford Dogs Dataset. Researchers from Stanford University created the original dataset for the task of fine-grained image categorization, with images and annotations derived from ImageNet. The Meta-Album version, created by Dustin Carrion in March 2022, provides squared and resized 128x128 pixel images.
The Meta-Album Stanford 40 Actions Dataset (Extended) contains 3,389 images of humans performing 40 distinct actions, preprocessed to a uniform 128x128 pixel size. It is derived from the original Stanford 40 Actions dataset, which was created by researchers including Bangpeng Yao and Li Fei-Fei. The Meta-Album version was created by Jilin He and released in March 2022.
800 images of healthy medicinal leaves from 20 species, originally captured on a mobile phone and preprocessed to a uniform 128x128 pixel resolution. The dataset was created by Phan Anh VU for the Meta-Album benchmark in March 2022, derived from a source dataset by Roopashree S and Anitha J published on Mendeley Data in 2020.
Meta-Album OmniPrint-MD-6 is a synthetic dataset of 28,120 RGB images (128x128 pixels) across 703 character categories, created using the OmniPrint synthesizer. The dataset was authored by Haozhe Sun and released in June 2021 under a CC BY 4.0 license. It is part of the Meta-Album collection for few-shot image classification.
The Human Protein Atlas project provides 840 RGB images of human cells, each resized to 128x128 pixels. This subset, curated for Meta-Album, contains images labeled with one of 21 subcellular protein localization classes. It was created by Felix Mohr in June 2022 from a larger multi-label Kaggle competition dataset.
Stanford Dogs Dataset is a collection of over 20,000 images of 120 dog breeds sourced from ImageNet for fine-grained image categorization. The Meta-Album DOG Mini version contains 4,800 images preprocessed to 128x128 pixels by cropping and resizing. Researchers Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao, and Li Fei-Fei created the original dataset, which was released in 2011 and later adapted by Meta-Album in March 2022.
1,560 images of humans performing 40 actions, preprocessed to 128x128 pixels for the Meta-Album benchmark. The dataset is derived from the Stanford 40 Actions dataset, originally created by researchers including Bangpeng Yao and Li Fei-Fei for action recognition in still images. This mini version was prepared for Meta-Album by Jilin He and released in March 2022.
800 synthetic RGB images of characters across 20 categories, each 128x128 pixels. The dataset was created using the OmniPrint synthesizer with specific nuisance parameters like random perspective, translation, and rotation, and released by Haozhe Sun in June 2021. It is part of the Meta-Album benchmark for few-shot image classification.
Ontario supports 25 women's centres through grants for skills development programs. The Government of Ontario's Women's Directorate published data on organization, location, and grant amounts for the 2012-2013 fiscal year. It details funding allocated to programs aimed at reducing vulnerability to poverty and domestic violence.
The Enhancing Access to Spaces for Everyone (EASE) Grant dataset lists recipients of funding for small capital projects aimed at improving accessibility. It is published by the Government of Ontario and includes organization name, project name, description, and funding amount. The dataset was last updated on March 18, 2026.
2012-2013 fiscal year records detail organizations, locations, and grant amounts issued under a campaign to help individuals recognize signs of abuse. The data was published by the Government of Ontario. It covers grants distributed during that single fiscal period.
Admissions data for youth custody, detention, and community sentences in Ontario, categorized by the most serious offence. Records are organized by fiscal year, four former administrative regions, offence severity ranking, and offence categories. The dataset provides total counts for each combination of these dimensions.
The World Food Programme provides this dataset of dekadal (10-day) NDVI indicators for the Democratic Republic of the Congo, aggregated by sub-national administrative units. It utilizes NASA MODIS collection 6.1 satellite data from Aqua and Terra sensors to track vegetation health, long-term averages, and anomalies.
Ocracoke Island model data supporting a paper submitted to Earth's Future. The .pkl files contain average values from 100 different model runs for 18 main scenarios and one supplemental scenario. Author Benton Franklin published this data via ODUM Harvested Dataverse, with a last update recorded for April 27, 2026.