{"url":"/dataset/sugar-beets-2016","name":"Sugar Beets 2016","full_name":"Sugar Beets 2016","description_markdown":"**Sugar Beets 2016** is a robot dataset for plant classification as well as localization and mapping that covers the relevant stages for robotic intervention and weed control. It contains around 5TB of data recorded from a robot with a 4-channel multi-spectral camera and a RGB-D sensor to capture detailed information about the plantation.\n\nSource: [https://www.ipb.uni-bonn.de/data/sugarbeets2016/](https://www.ipb.uni-bonn.de/data/sugarbeets2016/)\nImage Source: [https://www.ipb.uni-bonn.de/data/sugarbeets2016/](https://www.ipb.uni-bonn.de/data/sugarbeets2016/)","description_withheld":null,"homepage":"https://www.ipb.uni-bonn.de/data/sugarbeets2016/","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[],"languages":[],"variants":["Sugar Beets 2016"],"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."}