{"url":"/dataset/fino-net","name":"FINO-Net","full_name":null,"description_markdown":"**FINO-Net** is a multimodal (RGB, depth and audio) dataset, containing 229 real-world manipulation data of 5 different manipulation types recorded with a Baxter robot.","description_withheld":null,"homepage":"https://github.com/ardai/fino-net","introduced_date":"2020-11-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/fino-net-a-deep-multimodal-sensor-fusion","title":"FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection","first_author":null,"url":null},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[],"languages":[],"variants":["FINO-Net"],"data_loaders":[{"repo":"https://github.com/ardai/fino-net","url":"https://github.com/ardai/fino-net","frameworks":["pytorch"]}],"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":"2026-09-24T18:15:14+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."}