{"url":"/dataset/asd","name":"ASD","full_name":"Annotated Semantic Dataset","description_markdown":"The Annotated Semantic Dataset is composed of $11$ videos, divided in $3$ activity categories: Biking; Driving and Walking, according to their amount of semantic information. The classes are: $0p$, which represents the videos with approximately no semantic information; $25p$, for the videos containing relevant semantic information in ∼$25%$ of its frames ; the same ideia for the classes $50p$ and $75p$,\r\nThe videos were record using a GoPro Hero 3 camera mounted in a helmet for the Biking and Walking videos and attached to a head strap for the Driving videos.","description_withheld":null,"homepage":"https://www.verlab.dcc.ufmg.br/semantic-hyperlapse/epic2016-dataset/","introduced_date":"2016-10-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-semantic-fast-forward-and-stabilized","title":"Towards Semantic Fast-Forward and Stabilized Egocentric Videos","first_author":"Michel Melo Silva","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["ASD"],"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."}