{"url":"/dataset/mars-sample-localization","name":"Mars Sample Localization","full_name":null,"description_markdown":"It contains grayscale mono and stereo images (NavCam and LocCam) from laboratory tests performed by a prototype rover on a martian-like testbed.  The dataset can be used for artificial sample-tube detection and pose estimation. It also contains synthetic color images of the sample tube on a martian scenario created with Unreal Engine.","description_withheld":null,"homepage":"https://doi.org/10.5281/zenodo.6542933","introduced_date":"2022-06-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/hardware-accelerated-mars-sample-localization","title":"Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations","first_author":"Raúl Castilla-Arquillo","url":null},"license":{"name":"MIT License","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Stereo","url":"/datasets/modality/stereo"}],"tasks":[{"name":"2D Object Detection","url":"/task/2d-object-detection","datasets_with_task":"/datasets/task/2d-object-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Mars Sample Localization"],"data_loaders":[],"num_papers_in_archive":1,"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."}