{"url":"/dataset/avid","name":"AViD","full_name":null,"description_markdown":"Is a collection of action videos from many different countries. The motivation is to create a public dataset that would benefit training and pretraining of action recognition models for everybody, rather than making it useful for limited countries.\r\n\r\nSource: [AViD Dataset: Anonymized Videos from Diverse Countries](/paper/avid-dataset-anonymized-videos-from-diverse)","description_withheld":null,"homepage":"https://github.com/piergiaj/AViD","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/avid-dataset-anonymized-videos-from-diverse","title":"AViD Dataset: Anonymized Videos from Diverse Countries","first_author":"AJ Piergiovanni","url":null},"license":null,"modalities":[],"tasks":[{"name":"Action Classification","url":"/task/action-classification","datasets_with_task":"/datasets/task/action-classification"}],"languages":[],"variants":["AViD"],"data_loaders":[{"repo":"https://github.com/piergiaj/AViD","url":"https://github.com/piergiaj/AViD","frameworks":[]}],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/action-classification-on-avid","task":"Action Classification","dataset_variant":"AViD","rows":10,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"TokenLearner","paper":"/paper/tokenlearner-what-can-8-learned-tokens-do-for","metrics":{"Accuracy":"53.8"},"code_links":[{"title":"google-research/scenic","url":"https://github.com/google-research/scenic"},{"title":"keras-team/keras-io","url":"https://github.com/keras-team/keras-io/blob/master/examples/vision/token_learner.py"},{"title":"rish-16/tokenlearner-pytorch","url":"https://github.com/rish-16/tokenlearner-pytorch"},{"title":"ariG23498/TokenLearner","url":"https://github.com/ariG23498/TokenLearner"},{"title":"pwc-1/Paper-9","url":"https://github.com/pwc-1/Paper-9/tree/main/7/token_learner"},{"title":"pwc-1/Paper-9","url":"https://github.com/pwc-1/Paper-9/tree/main/4/token_learner"},{"title":"MindSpore-scientific/code-11","url":"https://github.com/MindSpore-scientific/code-11/tree/main/token_learner"},{"title":"MindSpore-scientific/code-1","url":"https://github.com/MindSpore-scientific/code-1/tree/main/token_learner"},{"title":"MindSpore-scientific/code-8","url":"https://github.com/MindSpore-scientific/code-8/tree/main/token_learner"},{"title":"MindSpore-scientific/code-10","url":"https://github.com/MindSpore-scientific/code-10/tree/main/token_learner"},{"title":"MindSpore-scientific-2/code-8","url":"https://github.com/MindSpore-scientific-2/code-8/tree/main/token_learner"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/tokenlearner-what-can-8-learned-tokens-do-for","title":"TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?","date":"2021-06-21","rows_on_this_dataset":1,"code_links":11,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/avid-dataset-anonymized-videos-from-diverse","title":"AViD Dataset: Anonymized Videos from Diverse Countries","date":"2020-07-10","rows_on_this_dataset":9,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":3,"samples_ran":3,"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."}