{"url":"/dataset/astrvision","name":"AstroVision","full_name":null,"description_markdown":"AstroVision is a large-scale dataset comprised of 115,970 densely annotated, real images of 16 different small bodies from both legacy and ongoing deep space missions to facilitate the study of deep learning for autonomous navigation in the vicinity of a small body.","description_withheld":null,"homepage":"https://github.com/astrovision/","introduced_date":"2022-08-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/astrovision-towards-autonomous-feature","title":"AstroVision: Towards Autonomous Feature Detection and Description for Missions to Small Bodies Using Deep Learning","first_author":"Travis Driver","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["AstroVision"],"data_loaders":[],"num_papers_in_archive":5,"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."}