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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
14,853 datasets
A dataset listing the number of endemic districts in Uganda, compiled using a scorecard method. The dataset is authored by Godfrey Bwire and is available as a 5.5 KB Excel file. It was last updated on May 21, 2026.
A dataset containing measurements of weight, food intake, organ weight, and systolic blood pressure. It was authored by Yutaro Nishikata and last updated on May 21, 2026. The data is stored in a single XLSX file sized at 13.7 KB.
A clinical dataset comparing baseline characteristics of patients with pelvic organ prolapse, segmented into groups with voiding difficulty, overactive bladder, and controls without urinary symptoms. The dataset, created by Apisith Saraluck, is available under a CC-BY-4.0 license and was last updated on 2026-05-21. It is a small dataset with a file size of 5.5 KB.
A 37.4 KB de-identified dataset in XLSX format, used for statistical analysis of pelvic organ prolapse, voiding difficulty, and overactive bladder outcomes. It was authored by Apisith Saraluck and last updated on May 21, 2026. The dataset is shared under a CC-BY-4.0 license on figshare.
2009 onward, this dataset contains annual water withdrawal reports for facilities in New York State with a capacity to withdraw 100,000 gallons or more per day. It is collected by the Department of Environmental Conservation under ECL 15-1501 and includes facility names, locations, and withdrawal volumes. The data supports regulatory oversight and water resource management.
From 2017 onward, this dataset tracks the distribution of land used for livestock pastures across municipalities in Colombia. It includes columns such as Pradera Mejorada, Pastos Predominantes, Forrajeros, and Silvo pastoril, which suggest a breakdown of pasture types and forage resources. The data is hosted by www.datos.gov.co and was last updated on 2026-05-18.
January 2021 survey of 7,873 Burundian refugee households in the Lusenda and Mulongwe camps in South Kivu, Democratic Republic of the Congo, conducted by UNHCR and WFP. The quantitative assessment was supplemented by qualitative data from eight focus group discussions in February 2021. This dataset is an anonymized sample stratified by camp and survey type, with survey weights provided.
Orange peel contains raw and processed characterization data for synthesized nanocomposite materials developed using a green synthesis approach. The dataset includes X-ray diffraction, FTIR spectra, XPS, and BET analysis data organized into separate folders. Author saranya Amirtharajan published the 951.5 KB dataset on figshare under a CC-BY-4.0 license.
82.2 GB of raw multichannel confocal microscopy images from a control mouse liver lobule and pancreas section. The data includes fluorescence labeling for mitochondria, peroxisomes, lipid droplets, and cell boundaries, with additional insulin and glucagon labeling in the pancreas. Raghabendra Adhikari published this dataset on figshare in 2026 to support testing of the sOrganellomics analysis pipeline.
A collection of raw images curated by SKT AI Labs for training the W-IMG multimodal image generation model. The dataset is described as open-sourced for the open-source AI community. It was last updated on 2026-05-19.
A registry of information assets from the Colombian Civil Defense, originating from different areas of the organization. The dataset includes metadata such as asset name, description, responsible area, and update frequency. It was published on the datos.gov.co platform and last updated on 2026-05-18.
This geospatial and demographic resource provides administrative boundaries and population statistics sourced from UN OCHA FIS and UN FPA. Managed by the Information Technology Outreach Services (ITOS) and last updated in March 2026, it functions as a gazetteer and metadata lookup for humanitarian Common Operational Datasets (COD).
A 2005 benchmark study of seven Dutch municipalities (Groningen, Emmen, Almelo, Enschede, Hengelo (O), Zwolle, Apeldoorn) on the implementation of the Disabled Facilities Act (Wvg) and the Social Support Act (WMO). The dataset was developed by the Dutch Ministry of the Interior and Kingdom Relations to facilitate municipal comparison and improve policy execution. It likely contains metrics on provisions provided, expenditures, implementation costs, and policy quality.
Sunil Kumar Sharma published this dataset on figshare in April 2026. It contains performance metrics for the NeuroHAGWO-Net AI model, which analyzes electroencephalogram (EEG) signals and behavioral text data for mental health screening. The dataset is 5.5 KB in size and is stored in an XLS file.
Performance Comparison (Behavioral Data) contains evaluation metrics for the NeuroHAGWO-Net AI model, which uses multimodal data for automated mental health status detection. The dataset, authored by Sunil Kumar Sharma and last updated in April 2026, is a 5.5 KB Excel file with performance figures from model validation on behavioral data.
A study by Sunil Kumar Sharma proposes NeuroHAGWO-Net, an AI framework for mental health detection using EEG and behavioral text data. The dataset, last updated in April 2026, contains performance metrics from model validation on behavioral data, achieving an accuracy of 0.9945 and other detailed scores. The data is stored in an XLS file with a size of 5.5 KB.
NeuroHAGWO-Net, an AI framework for mental health detection, achieved an accuracy of 0.9945 on behavioral data and 0.9935 on EEG signals. The dataset, authored by Sunil Kumar Sharma and last updated in April 2026, contains performance metrics for this multimodal model combining EEG and text data.
A 5.5 KB Excel file containing system configuration and software requirements for the NeuroHAGWO-Net AI model. The model, authored by Sunil Kumar Sharma and last updated in April 2026, integrates electroencephalogram (EEG) signals and behavioral textual data for automated mental health status detection. It employs a hybrid BiLSTM-CNN architecture and a novel Hybrid Ant-Grey Wolf Optimization (HAGWO) feature selection method.
A multimodal dataset integrating electroencephalogram (EEG) signals and behavioral textual data for automated mental health status detection. The dataset was created by Sunil Kumar Sharma and last updated on April 13, 2026. It is stored in an XLS file with a size of 5.5 KB.
A 7.5 KB ZIP archive contains two CSV files with survey responses. The data includes answers to the Narcissistic Personality Inventory (NPI) and an Organizational Innovation Capabilities Questionnaire. Author Tobías Alfonso Parodi Camaño published the dataset on figshare under a CC-BY-4.0 license, last updated on 2026-05-11.