{"url":"/dataset/cocodoom","name":"CocoDoom","full_name":null,"description_markdown":"CocoDoom is a collection of pre-recorded data extracted from Doom gaming sessions along with annotations in the MS Coco format.\r\n\r\nSource: [ResearchDoom and CocoDoom: Learning Computer Vision with Games](https://arxiv.org/abs/1610.02431)","description_withheld":null,"homepage":"http://www.robos.ox.ac.uk/~vgg/research/researchdoom","introduced_date":"2016-10-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/researchdoom-and-cocodoom-learning-computer","title":"ResearchDoom and CocoDoom: Learning Computer Vision with Games","first_author":"A. Mahendran","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"},{"name":"Object Proposal Generation","url":"/task/object-proposal-generation","datasets_with_task":"/datasets/task/object-proposal-generation"}],"languages":[],"variants":["CocoDoom"],"data_loaders":[],"num_papers_in_archive":4,"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":"2026-09-25T09:33:49+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."}