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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,011 datasets
Democratic National Committee data from the Roper Harvested Dataverse, last updated on April 23, 2026. The dataset, titled 'Greenberg Collection: Democratic National Committee Combined (White American Merged Data) II', likely contains survey or demographic information. Its specific content, scale, and variables require verification after download.
A dataset from the Democratic National Committee, published via the Roper Harvested Dataverse. The collection, titled 'Democratic National Committee Combined (White American Merged Data) I', was last updated on April 23, 2026. Its specific content and scale are not detailed in the available metadata.
FineGrainOCR Extracted is a dataset from Kaggle. The title suggests it contains text extracted from images using Optical Character Recognition techniques. Metadata is minimal; actual content requires verification after download.
A dataset for optical character recognition (OCR) tasks related to Vietnamese license plates. It is hosted on Kaggle and appears to be split for use with the Qwen2 model architecture. The dataset's specific size, annotation details, and creation date are not provided in the available metadata.
Kaggle hosts this dataset titled 'aero ID yolo 65 map V0.1'. The title suggests it contains aerial imagery annotated for object detection using the YOLO framework. The dataset's author, organization, and specific details are unknown.
A file named 'yolov8n.pt' published on Kaggle. The title suggests it contains the neural network weights for the YOLOv8n model, a lightweight version of the YOLO (You Only Look Once) object detection architecture. The dataset's content, size, and specific version are not detailed in the provided metadata.
A dataset titled 'technocrat' sourced from Kaggle. The title suggests a focus on technology, policy, or governance systems. Specific details regarding content, size, authorship, and update history are unavailable from the provided metadata.
A checkpoint for the Gold-YOLO-S model, likely trained on the VisDrone dataset for object detection tasks. The dataset's content and scale must be verified after download, as metadata is minimal. It was published on Kaggle, but the author, organization, and specific details are unknown.
tire-segmentation-yolov8_v4 is a dataset published on Kaggle. The title suggests it contains images annotated for tire segmentation tasks, likely intended for use with the YOLOv8 object detection model. The dataset's size, author, and specific contents are not detailed in the provided metadata.
YOLOv8x-pretrained-weights is a dataset published on Kaggle. It likely contains the model weights for the YOLOv8x object detection architecture. The author, organization, and specific details about the data are unknown.
Publicly owned coastal digital elevation models for New Zealand, covering the seabed down to approximately 25 meters in depth. The data consists of nationally consistent 1-meter resolution tiles derived from LiDAR surveys, provided as Cloud Optimised GeoTIFFs with STAC metadata. It is published by Toitū Te Whenua Land Information New Zealand under a CC-BY-4.0 license.
New Zealand's publicly owned digital elevation and surface models, available under an open license. The dataset contains 1-meter resolution grids derived from LiDAR data, organized by region and survey. It is provided as Cloud Optimised GeoTIFFs with LERC compression and accompanied by STAC metadata.
Ugandan hospital data compares cardiovascular outcomes for people living with and without HIV. The dataset likely contains records of major adverse cardiovascular events, morbidity, and mortality. Columns suggest clinical variables related to heart failure, myocardial infarction, and stroke.
Micro-organic herbicide levels in river water for 21 sites across the Humber and Tweed catchments. Data includes concentrations for Phenyl urea and Phenoxy acid compounds like 2,4-Dichlorophenoxyacetic acid, Diuron, and Isoproturon, collected weekly from 1994 to 1997. The dataset was produced by the Land Ocean Interaction Study project.
170 years of saltmarsh extent data for 25 estuaries across six regions in Great Britain, captured from historical maps and aerial photographs. The dataset quantifies lateral change and includes calculated root mean square error estimates for each marsh complex. C. Ladd and M.F. Duggan-Edwards collected the data for the NERC C-SIDE programme, used in the 2019 analysis by Ladd et al.
2017-2019 hydrological measurements capture peak monsoon and dry season conditions for two major Myanmar rivers. The dataset includes suspended sediment concentrations, particulate organic carbon, and particle size distributions collected at various depths and lateral cross-sections. Acoustic Doppler Current Profiler data was used to measure flow velocity and calculate total river discharge.
ResNet101CU is a dataset of pre-trained model weights for the ResNet-101 architecture. It is hosted on Kaggle, a platform for data science and machine learning projects. The specific source, training data, and performance metrics for these weights are not detailed in the available metadata.
Insurance complaint records from the Texas Department of Insurance, detailing grievances against licensed companies, agents, and adjusters. The data includes multiple rows per complaint when multiple entities are named. File formats include XML, CSV, RDF, and JSON.
Myanmar Word Glyphs (MWG) is a dataset containing 49.8 thousand synthetic grayscale word and phrase images. The dataset is intended for optical character recognition and text recognition tasks for the Burmese language. The author, organization, and last update date are unknown.
A dataset titled 'tissue_dataset_yolo' is hosted on Kaggle. The title suggests it contains images of tissue, likely annotated for object detection tasks using the YOLO framework. No further metadata regarding size, source, or creation date is available.