{"url":"/dataset/fieldsafe","name":"FieldSAFE","full_name":null,"description_markdown":"The FieldSAFE dataset is a multi-modal dataset for obstacle detection in agriculture. It comprises 2 hours of raw sensor data from a tractor-mounted sensor system in a grass mowing scenario in Denmark, October 2016.\r\n\r\nGround truth information on object location and class labels for both static and moving obstacles is available as timestamped global (geographic) coordinates.","description_withheld":null,"homepage":"https://vision.eng.au.dk/fieldsafe/","introduced_date":"2017-09-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/fieldsafe-dataset-for-obstacle-detection-in","title":"FieldSAFE: Dataset for Obstacle Detection in Agriculture","first_author":null,"url":null},"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[],"languages":[],"variants":["FieldSAFE"],"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."}