{"url":"/dataset/cowc","name":"COWC","full_name":"Cars Overhead With Context","description_markdown":"The Cars Overhead With Context (COWC) data set is a large set of annotated cars from overhead. It is useful for training a device such as a deep neural network to learn to detect and/or count cars.\r\n\r\nSource: [A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning](/paper/a-large-contextual-dataset-for-classification)\r\nImage Source: [https://gdo152.llnl.gov/cowc/](https://gdo152.llnl.gov/cowc/)","description_withheld":null,"homepage":"http://gdo-datasci.ucllnl.org/cowc/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/a-large-contextual-dataset-for-classification","title":"A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning","first_author":"T. Nathan Mundhenk","url":null},"license":{"name":"AGPLv3","url":"https://gdo152.llnl.gov/cowc/download/cowc/LICENSE.txt"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Object Counting","url":"/task/object-counting","datasets_with_task":"/datasets/task/object-counting"},{"name":"Density Estimation","url":"/task/density-estimation","datasets_with_task":"/datasets/task/density-estimation"}],"languages":[],"variants":["COWC"],"data_loaders":[],"num_papers_in_archive":22,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}