{"url":"/dataset/pa-hmdb51","name":"PA-HMDB51","full_name":"Privacy Annotated HMDB51","description_markdown":"The **Privacy Annotated HMDB51** (**PA-HMDB51**) dataset is a video-based dataset for evaluating pirvacy protection in visual action recognition algorithms. The dataset contains both target task labels (action) and selected privacy attributes (skin color, face, gender, nudity, and relationship) annotated on a per-frame basis.\n\nSource: [https://github.com/VITA-Group/PA-HMDB51](https://github.com/VITA-Group/PA-HMDB51)","description_withheld":null,"homepage":"https://github.com/VITA-Group/PA-HMDB51","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/privacy-preserving-deep-visual-recognition-an","title":"Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset","first_author":"Zhen-Yu Wu","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Privacy Preserving Deep Learning","url":"/task/privacy-preserving-deep-learning","datasets_with_task":"/datasets/task/privacy-preserving-deep-learning"}],"languages":[],"variants":["PA-HMDB51"],"data_loaders":[{"repo":"https://github.com/VITA-Group/PA-HMDB51","url":"https://github.com/VITA-Group/PA-HMDB51","frameworks":[]}],"num_papers_in_archive":7,"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."}