{"url":"/dataset/hutics","name":"HuTics","full_name":"Human Deictic Gestures Dataset","description_markdown":"HuTics contains 2040 images showing how humans use deictic gestures to interact with various daily-life objects. The images are annotated by segmentation masks of the object(s) of interest. The original purpose of the data collection is for gesture-aware object-agnostic segmentation tasks.","description_withheld":null,"homepage":"https://zhongyi-zhou.github.io/GestureIMT/","introduced_date":"2022-08-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/gesture-aware-interactive-machine-teaching","title":"Gesture-aware Interactive Machine Teaching with In-situ Object Annotations","first_author":null,"url":null},"license":{"name":"CC-BY-NC","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"2D Semantic Segmentation","url":"/task/2d-semantic-segmentation","datasets_with_task":"/datasets/task/2d-semantic-segmentation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["HuTics"],"data_loaders":[],"num_papers_in_archive":2,"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."}