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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,093 datasets
Scotland's Hare Moss peatland streams provide bi-weekly water chemistry data for 2022 and 2023, including dissolved organic carbon (DOC), total dissolved nitrogen (TdN), and greenhouse gases. The dataset was collected by the MERLIN project to establish a pre-restoration environmental baseline. Row and column counts are unspecified.
Greenhouse gas flux data for N2O, CO2, and CH4 from artificial and real sheep urine applications on organic soils in Snowdonia National Park, UK. The study was conducted across summer and autumn seasons, with supporting soil property, meteorological, and soil chemistry time-series data. Data were used to calculate urine patch N2O-N emission factors for extensively grazed montane agroecosystems.
100 topsoil samples from Great Britain provide carbon and nitrogen content measurements for soil organic matter fractions, including free-light fraction, occluded particulate fraction, and mineral associated organic matter. Data originates from the UKCEH Countryside Survey conducted in 2019-2020, with associated historic soil and vegetation data available.
Water chemistry and organic matter composition data collected from UK surface waters between 2018 and 2018. Variables include pH, conductivity, dissolved organic carbon, nutrients, anions, cations, metals, and organic matter metrics from carbon, nitrogen, hydrogen, and oxygen concentrations. Site metadata includes land use, vegetation cover, catchment area, and percentage peat cover.
Land cover and sediment geochemistry data from the Rio Santa catchment in the Peruvian Andes, collected between 2019 and 2020. The dataset includes major and minor element concentrations determined by X-Ray Fluorescence, organic matter via loss-on-ignition, and particle size data for the wider catchment and Ranrahirca sub-catchment. Research was supported by the Natural Environment Research Council and Newton Fund grant NE/S013245/1.
21 flood matrices assess community resilience changes from the NIMFRU project. Data were completed by community members and local district officers in three target communities of Anyangabella, Agule, and Kaikamosing. Collection occurred in December 2020.
Katakwi District, Uganda contains 21 semi-structured interviews evaluating flood resilience improvements from community members and local officers. Data were collected in December 2020 as part of the NIMFRU project to assess changes in community resilience.
YOLO26x is a dataset hosted on Kaggle. The title suggests it is related to the YOLO (You Only Look Once) family of object detection models. The dataset's specific content, size, and collection details are not provided in the available metadata.
Kaggle hosts a dataset related to the YOLOv8 object detection model. The dataset's specific content, size, and origin are not detailed in the available metadata. Users must download the dataset to verify its exact composition and intended use.
A dataset titled 'Gokdogan-Finetune' published on Kaggle. The dataset's content and structure are not described in the provided metadata. Its intended use likely relates to fine-tuning machine learning models.
mhc_ligand_full.csv is a dataset published on Kaggle. Its title suggests it contains data related to ligands binding to Major Histocompatibility Complex molecules, a key system in immunology. The dataset's specific content, size, and origin are unknown from the provided metadata.
Mini ImageNet Output is a dataset published on Kaggle. The title suggests it is likely a subset or derivative of the ImageNet collection, a foundational resource for computer vision. Specific details on size, format, and creation are unavailable from the provided metadata.
2_preprocessed_keypoints is a dataset hosted on Kaggle. The title suggests it contains processed coordinate data, likely for human or object pose estimation tasks. Its specific content, scale, and origin require verification after download.
YOLO-Merged is a dataset for object detection tasks, likely containing annotated images. It is hosted on Kaggle, but its specific contents, size, and creation details are unspecified. The dataset's author, organization, and last update date are unknown.
Kaggle hosts this dataset, which appears to be a merged collection for training or benchmarking YOLO (You Only Look Once) object detection models. The dataset's specific contents, size, and origin are not detailed in the provided metadata. Its utility for machine learning practitioners likely depends on the actual image annotations and categories present, which require verification after download.
SOMI is an image dataset published on Kaggle. The dataset's specific content, size, and collection details are not provided in the available metadata. Further verification after download is required to confirm its scope and intended applications.
Mini ImageNet Output2 is a dataset published on Kaggle. Its title suggests it is a subset or derivative of the ImageNet dataset, commonly used for computer vision tasks. The dataset's specific content, size, and structure require verification after download.
An image dataset derived from the ImageNet collection, published on Kaggle. The specific content and structure of this version are not detailed in the available metadata. Its origin is linked to the broader ImageNet project, a large-scale visual database for object recognition research.
750 images of U.S. coins annotated for object detection tasks. The dataset is designed for use with YOLO pipelines. It was sourced from Kaggle, but the author, organization, and last update date are unknown.
Updated to 2020, this dataset extends its coverage to include overseas colonies and introduces new variables for political liberties, electoral turnover, and modes of democratic transition and breakdown. It was created by Svend-Erik Skaaning and last updated in April 2026.