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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,335 datasets
A geospatial dataset delineating areas with glacial backs as defined by the Environmental Ordinance of the Province of Groningen. The dataset likely contains polygons or raster data for enforcing rules protecting geographical relief and its visibility. It is provided by the Dutch Ministry of the Interior and Kingdom Relations under a CC-PDM-1.0 license.
Scottish Government SpatialData.gov.scot aggregates local authority data on cycling infrastructure, including lanes and segregated paths, into a national network. The dataset also incorporates the Scottish portion of the Walk Wheel Cycle Trust's National Cycle Network, which contains Ordnance Survey data. It was last updated on 2026-04-28.
April 23, 2018 is the date of the joint ministerial meeting documented in this publication. The dataset is a PDF document containing the "Toronto Commitments" issued by foreign and security ministers from Canada, France, Germany, Italy, Japan, the UK, the USA, and the European Union. It was published by Global Affairs Canada and archived on the open_canada platform.
Surficial sediment samples from over 350 locations across Australia's western, northern, and eastern continental margins, collected during federal government surveys from 2007 to 2014. The dataset includes parameters for organic matter source, concentration, and bioavailability, such as δ13C, δ15N, total organic carbon, and sediment oxygen demand. It was published by researchers including Lynda Radke and Tony Nicholas in 2017 to establish biogeochemical baselines and link seabed properties to water column characteristics.
Lake Taihu in China is the focus of this dataset, which investigates the decomposition dynamics of terrestrial, algal, and macrophyte organic carbon inputs from 2001 to 2020. The data quantifies decomposition in water and sediments and calculates whole-lake net changes in carbon budgets expressed as CO2-equivalents. It was authored by Peng Zhu and last updated in April 2026.
Autophagy is a conserved cellular process for degradation and recycling that maintains homeostasis. Jiazhen He's 19.6 KB review document, updated in April 2026, summarizes its core mechanisms, dual roles in diseases across multiple body systems, and therapeutic perspectives. The document is licensed under CC-BY-4.0 and hosted on figshare.
Vietnamese handwritten text images collected from public internet sources. The dataset contains 60,248 images curated for Handwritten Text Recognition research and applications. It was created by 5CD-AI and last updated on Hugging Face in May 2026.
Southwest Australia (24-46S, 106-140E) is covered by digital grids of bathymetry, gravity, and magnetic data. The Australian Geological Survey Organisation produced these grids by integrating land, marine, and satellite data, with significant bathymetric input from the Australian Hydrographic Office. The results were obtained by performing a network adjustment on marine ship-track data and combining it with onshore and satellite-derived sources.
Survey data from a 2026 study examines the relationship between authentic leadership, work engagement, and contextual performance among sports organization employees. The dataset supports mediation analysis with reported beta coefficients and confidence intervals. It was authored by Uğur İnce and is licensed under CC BY 4.0.
The 2018 Mexican presidential campaign provides the temporal context for this dataset, which systematically tracks candidate visits to municipalities. Created by Alejandra Armesto and hosted on Harvard Dataverse, it records campaign events for the three main candidates: Andrés Manuel López Obrador, Ricardo Anaya Cortés, and José Antonio Meade Kuribreña. The data allows for analysis of distinct territorial strategies employed during this election marked by party realignment.
A 2024 study by Nathan Mital aimed to model historic bark beetle disturbances in northwest British Columbia using spectral signatures. The process used Landsat imagery and Aerial Overview Survey data to train a random forest classifier with 76% accuracy on test data. The model's transfer to the target region was deemed unrealistic, flagging 31% of forestland as disturbed, indicating a need for site-specific data.
5.5 KB of performance metrics comparing the MiDaS-DPT model against state-of-the-art pothole-specific methods for depth estimation. The dataset, authored by Waqar Rauf Butt and last updated on 2026-05-08, includes evaluation metrics such as MAE, RMSE, and accuracy. It is shared on figshare under a CC-BY-4.0 license.
MiDaS (DPT) model performance data for pothole depth estimation is available in a 5.5 KB XLS file. Waqar Rauf Butt authored this dataset, which was last updated on May 8, 2026. The dataset's specific row count and column details are not provided in the metadata.
Dong Yan published an orthorectified SAR image dataset on figshare in May 2026. The dataset is 62.7 MB in size and is distributed as a RAR file under a CC-BY-4.0 license. Column-level metadata and sample data are unavailable.
An orthorectified Synthetic Aperture Radar image dataset shared by author Dong Yan. The dataset is 74.9 MB in size and is available under a CC-BY-4.0 license. It was last updated on May 8, 2026.
62.5 MB of orthorectified Synthetic Aperture Radar (SAR) image data shared by Dong Yan on figshare. The dataset is licensed under CC-BY-4.0 and was last updated on May 8, 2026. Its specific application context is described as being used in a particular study.
Final follow-up data from an HIV vaccine preparedness study in Masaka, Uganda, analyzes risk factors for HIV acquisition among adults. The 13.5 KB XLS file was authored by Sylvia Kusemererwa and last updated on May 8, 2026. Its specific focus on a defined Ugandan population provides a localized perspective on HIV epidemiology.
Sylvia Kusemererwa authored a dataset of baseline factors associated with HIV acquisition among adults enrolled in an HIV vaccine preparedness study in Masaka, Uganda. The dataset is 17.5 KB in size and is available in XLS format under a CC-BY-4.0 license. It was last updated on May 8, 2026.
5.5 KB of training configuration data for standalone and ensemble machine learning models, authored by Vijay U. Rathod and shared on figshare under a CC-BY-4.0 license. The dataset was last updated on May 8, 2026. It contains configurations for models including MLP, CNN, FT-Transformer, and their ensembles with Autoencoders.
28 focus group discussions with 210 participants and 25 semi-structured interviews were conducted across over 70 villages in two provinces. The dataset, authored by Adelina Chandra, is available in XLS format under a CC-BY-4.0 license and was last updated on 2026-05 08.