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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,093 datasets
ResNet50 is a convolutional neural network architecture for image classification. This dataset likely contains the pre-trained model weights for the ResNet50 model. The weights were published on Kaggle, but the specific source and creation date are unknown.
Tariff indices for postal and communication services targeted at enterprises, institutions, and organizations. The data originates from the State Statistics Service of Ukraine and was last updated on March 1, 2026. Available file formats include JSON, Excel XLSX, and CSV.
Replication data supports analysis of Dutch politicians' stances on electoral reform during a key 1894 debate. The material was created by author Victor Ellenbroek and hosted by Harvard Dataverse, with a last recorded update in April 2026. It contains the underlying data for a study examining political preferences for democratization.
The Gulf of Mexico near Mississippi contains time series profile data collected from a buoy platform. Measurements include dissolved inorganic carbon, total alkalinity, pH, and other variables, gathered approximately quarterly from 2012-10-15 to 2014-04-22. The data were collected by NOAA and analyzed by the University of Delaware to validate autonomous carbon dioxide measurements.
Discrete surface water measurements collected from the R/V Laurence M. Gould across the Drake Passage from 2002-03-08 to 2017-10 24. The data include partial pressure of CO2, dissolved inorganic carbon, nutrients, sea surface temperature, and sea surface salinity. These data were collected by researchers from Columbia University's Lamont-Doherty Earth Observatory as part of a time series program sampling approximately six times per year at 15 stations.
Physical and chemical water parameters from Corpus Christi Bay in the northwestern Gulf of Mexico. The dataset includes salinity, temperature, depth, dissolved inorganic carbon, alkalinity, pH, dissolved oxygen, and nutrient concentrations. Sample collections were performed during summer months in 2015 and 2016 by researchers affiliated with the National Oceanic and Atmospheric Administration.
Discrete chemical and physical profile data collected from the G. M. DANNEVIG research vessel in the Skagerrak on 2012-01-14. The data include dissolved inorganic carbon, total alkalinity, salinity, and water temperature, measured using CTD and bottle instruments. Melissa Chierici of the Institute of Marine Research - Norway collected this data as part of the Coastal_TH2012_1 cruise.
NCEI Accession 0168767 from the National Oceanic and Atmospheric Administration contains measurements of sea surface temperature, salinity, dissolved inorganic carbon, total alkalinity, pH, and colored dissolved organic matter. Data were collected from time series stations in Delaware Bay, specifically the Murderkill Estuary, between May 9 and August 24, 2016. The dataset was created to assess the suitability of Honeywell Durafet-based sensors for high-resolution pH measurement in dynamic estuarine environments.
Featuring 36,807 rows of real-world UI screenshots paired with their original HTML, CSS, and JavaScript source code, released by ronantakizawa in February 2026. It features per-viewport bounding boxes for every visible DOM element and natural language descriptions generated by GPT-4.1 vision across three responsive breakpoints.
A set of model weights for a YOLOv8 neural network trained for license plate detection. The dataset consists of the trained model file, likely intended for inference on new images. It was uploaded to Kaggle, but details on the training data, author, and license are unknown.
The 'Impacts of Early Head Start' dataset contains evaluation data from a national study of the Early Head Start program. The data was collected by Mathematica Policy Research (MPR) and Columbia University across 16 program sites, involving parent interviews, child assessments, and parent-child interaction videotapes. The dataset likely includes measures of child development, family well-being, and program participation.
CityPersons-v9-yolo is a dataset published on Kaggle. The title suggests it is a version of the CityPersons dataset, which is commonly used for pedestrian detection in computer vision. It likely contains images of urban scenes annotated for object detection, potentially formatted for use with the YOLO model framework.
Object detection data published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Columns and sample data are unavailable for review.
Kaggle hosts a dataset titled 'face recognition_1'. The dataset likely contains images intended for face recognition tasks. Its author, organization, and specific details like size and license are unknown.
A dataset titled 'YOLO Simulador SPLIT3' published on Kaggle. The title suggests it contains simulated data likely intended for training or testing YOLO (You Only Look Once) object detection models. No further details on size, creator, or update date are available from the provided metadata.
A dataset likely containing text outputs from a Qwen language model fine-tuned on the CNN/Daily Mail and arXiv datasets for summarization tasks. The title suggests the model, Qwen3-1.7B, was trained for 10 epochs with a learning rate of 0.1 and a validation set size of 64. It is hosted on the Kaggle platform.
Democratic People's Republic of Korea is the subject of this geospatial map. The data is a PDF format map released by the United Nations Cartographic Section and hosted on the NASA Earthdata platform. The specific creation date, update frequency, and underlying data sources are not detailed in the provided metadata.
Handwritten English text images are paired with transcriptions of the same sentence, enabling models to learn mapping from handwriting to text. The dataset was created by Quari and last updated on Hugging Face in February 2026. Its specific size and collection methodology are detailed on the dataset page.
Natural history collections of benthic organisms from the Antarctic continental shelf. Data is associated with the CEAMARC and REVOLTA scientific campaigns and was contributed by the organization SCIOPS.
A tagging program initiated in 2003 works with commercial fishermen to tag and release yellowtail flounder with disc or data storage tags throughout New England. The location, date, and other information are recorded upon release and recapture, enabling estimates of stock movements, mortality, and growth. The data is provided by the National Oceanic and Atmospheric Administration (NOAA) and was last updated in March 2026.