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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,995 datasets
smoking.v4i.yolov11 is a dataset for object detection tasks, likely containing images annotated for the YOLOv11 model. The dataset is hosted on Kaggle, but its specific contents, size, and origin are not detailed in the available metadata. Further details such as the number of images, annotation specifics, and creation date require verification after accessing the dataset files.
A 5.5 KB Excel file compares the performance of multiple biomedical foundation models on the ImageNet-1K benchmark. The dataset, created by Mirza Nasir Hossain, was last updated on March 18, 2026. It likely contains tabular metrics where bold values indicate the best performance for each model.
9.5 KB of Excel data on pathology laboratory infrastructure and organizational processes. The dataset, created by Tshass Chasinga Baharanyi, focuses on facilities in the Eastern Democratic Republic of the Congo, specifically the provinces of North Kivu and South Kivu. Its platform tags suggest a mixed-methods study on improving cancer diagnostics in a region serving approximately 8 million people.
A comparative analysis of the proposed ABC-YOLO model against other state-of-the-art architectures for classifying skin burn depth. The dataset was created by Uğur Şevik and last updated on March 18, 2026. It likely contains statistical results from evaluating models on a source dataset of 358 retrospective burn images.
358 retrospective images of skin burns were used to evaluate YOLO-Seg models for burn depth classification. The dataset contains performance metrics from a comparative analysis of different architectural sizes, with results evaluated by expert general surgeons. It was authored by Uğur Şevik and last updated in March 2026.
SAR-1M contains over 1,000,000 synthetic aperture radar (SAR) images for remote sensing representation learning, released by Wenquandan777. Approximately 75% of the SAR samples are paired with geographically aligned optical images to support multimodal analysis.
Replication data for a 2026 study on political polarization. The dataset likely contains experimental or survey data from a paper examining the effects of repeated treatments on affective polarization and democratic norms. It was authored by Elizabeth Jenke and hosted on Harvard Dataverse.
NOAA collected discrete profile measurements of dissolved inorganic carbon, total alkalinity, pH, temperature, salinity, oxygen, and nutrients during the R/V Ryofu Maru III cruise RF201710 in the North Pacific Ocean. The data covers a one-month period from November 25 to December 24, 2017. Measurements are part of the Ocean Carbon and Acidification Data System (OCADS).
Uncalibrated raw data from the Rosetta spacecraft's RPC-LAP instrument, acquired during the ROSETTA EXTENSION 1 mission phase. The data is the digital output of the instrument, reorganized into fewer files with longer time series and sorted by measurement type. This version supersedes previous versions and is provided by the National Aeronautics and Space Administration.
Over 17,000 clinical-grade images curated for automated classification of poultry diseases. The dataset is hosted on Kaggle, but the author, organization, and specific collection details are not provided.
Codebrim-yolov8 is a dataset hosted on Kaggle. The title suggests it contains imagery for detecting building infrastructure, likely using the YOLOv8 object detection model. The dataset's author, organization, and specific details are not provided in the metadata.
Industrial Conveyor Belt OCR Dataset is a computer vision dataset published on Kaggle. It likely contains images of text on industrial conveyor belts for optical character recognition tasks. The dataset's specific size, origin, and update date are unknown.
Dan Yang provides original data for a manuscript on soil organic carbon fractions and pool stability. The dataset supports research on the effects of land-use conversion in the arid valleys of Southwest China. It was last updated in April 2026.
Identified as 'analcatdata_michiganacc' from the OpenML platform. No information is available regarding its contents, size, or structure.
National Aeronautics and Space Administration data from the Rosetta spacecraft's RPC-LAP instrument during the Lutetia fly-by mission phase. The dataset contains calibrated instrument outputs in volts and amperes, corrected for instrument offsets, and is reorganized into fewer files with longer time series. This version, updated in March 2026, restarts the version numbering to V1.0 due to a naming convention change.
Temperature-depth profiles from the upper ocean layers collected by the research vessel Cardigan Bay using Mechanical Bathythermograph (MBT) instruments. The dataset covers a three-year period from 1957 to 1960 across the Coral Sea, South China Sea, and South Pacific Ocean. Data was processed and standardized by the National Oceanographic Data Center (NODC) into the C128 format.
Brian Phillips from the University of Essex uses new global data to investigate why some terrorist groups survive longer than others. The analysis focuses on the impact of inter-group cooperation and how its effect is conditioned by state attributes like capability and democracy. The dataset covers terrorist groups operating globally between 1987 and 2005.
Great Lakes data includes zooplankton, chemical, and other measurements collected from July 1970 to March 1972. The University of Michigan gathered the data using nets and sediment samplers with support from the Great Lakes Project and Seagrant project. This dataset is hosted by NOAA NCEI and appears on multiple government data platforms.
7200157 records temperature-depth profiles from the research vessel ATLANTIS II, collected using Mechanical Bathythermograph (MBT) instruments. The data, processed by the National Oceanographic Data Center (NODC) into the C128 standard format, covers a six-year period from 1962 to 1968 across multiple ocean basins. Each observation provides paired temperature and depth values at uniform 5-meter intervals down to a maximum of approximately 285 meters.
The PRELANDING mission phase data from the Rosetta spacecraft's RPC-LAP instrument, targeting comet 67P/Churyumov-Gerasimenko 1 (1969R1). This version reorganizes uncalibrated raw instrument output into fewer files with longer time series sorted by measurement type. The dataset is produced by the National Aeronautics and Space Administration and supersedes previous versions split into MTPs.