{"url":"/dataset/toyota-smarthome-dataset","name":"Toyota Smarthome dataset","full_name":"Toyota Smarthome Trimmed","description_markdown":"Toyota Smarthome Trimmed has been designed for the activity classification task of 31 activities. The videos were clipped per activity, resulting in a total of 16,115 short RGB+D video samples.  activities were performed in a natural manner. As a result, the dataset poses a unique combination of challenges: high intra-class variation, high-class imbalance, and activities with similar motion and high duration variance. Activities were annotated with both coarse and fine-grained labels. These characteristics differentiate Toyota Smarthome Trimmed from other datasets for activity classification.","description_withheld":null,"homepage":"https://project.inria.fr/toyotasmarthome/","introduced_date":"2019-10-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/toyota-smarthome-real-world-activities-of","title":"Toyota Smarthome: Real-World Activities of Daily Living","first_author":"Srijan Das","url":null},"license":{"name":"Yes","url":"https://project.inria.fr/toyotasmarthome/files/2020/12/License_v2.pdf"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Action Classification","url":"/task/action-classification","datasets_with_task":"/datasets/task/action-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Toyota Smarthome dataset"],"data_loaders":[],"num_papers_in_archive":23,"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."}