{"url":"/dataset/mo7-dataset","name":"MO7 Dataset","full_name":null,"description_markdown":"MO7 dataset consists of 50,000 images with over 900 unique objects and over 18 classes. The dataset was collected in Missouri, Kansas, and Washington, 3 states known for their rural environment and challenging rural road conditions. The data consists of over 400 miles recorded in the 3 states combined . \r\nOur objective was to choose routes that are challenging in nature and underrepresented in other available datasets. Thus, we focused on unmarked roads, curvy roads, hills,  and unpaved gravel roads, in addition to the availability of objects that are specific to rural areas such as agricultural machinery, small construction machinery used around farms, and farm animals.","description_withheld":null,"homepage":"https://feluccaai.com/mo7-rural-dataset/","introduced_date":"2022-02-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-NC","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["MO7 Dataset"],"data_loaders":[],"num_papers_in_archive":0,"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."}