{"url":"/dataset/mpose2021","name":"MPOSE2021","full_name":"MPOSE2021 Dataset for Short-time Human Action Recognition","description_markdown":"MPOSE2021, a dataset for real-time short-time HAR, suitable for both pose-based and RGB-based methodologies. It includes 15,429 sequences from 100 actors and different scenarios, with limited frames per scene (between 20 and 30). In contrast to other publicly available datasets, the peculiarity of having a constrained number of time steps stimulates the development of real-time methodologies that perform HAR with low latency and high throughput.","description_withheld":null,"homepage":"https://github.com/PIC4SeRCentre/MPOSE2021_Dataset","introduced_date":"2021-07-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/action-transformer-a-self-attention-model-for","title":"Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition","first_author":"Vittorio Mazzia","url":null},"license":{"name":"GNU General Public License v3.0","url":"https://github.com/PIC4SeRCentre/MPOSE2021_Dataset/blob/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MPOSE2021"],"data_loaders":[],"num_papers_in_archive":1,"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."}