{"url":"/dataset/opra","name":"OPRA","full_name":"Online Product Reviews for Affordances","description_markdown":"The OPRA Dataset was introduced in Demo2Vec: Reasoning Object Affordances From Online Videos (CVPR'18) for reasoning object affordances from online demonstration videos. It contains 11,505 demonstration clips and 2,512 object images scraped from 6 popular YouTube product review channels along with the corresponding affordance annotations. More details can be found on our https://sites.google.com/view/demo2vec/.","description_withheld":null,"homepage":"https://sites.google.com/view/demo2vec/","introduced_date":"2018-06-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/demo2vec-reasoning-object-affordances-from","title":"Demo2Vec: Reasoning Object Affordances From Online Videos","first_author":"Kuan Fang","url":null},"license":{"name":"MIT License","url":"https://github.com/kuanfang/opra/blob/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Video-to-image Affordance Grounding","url":"/task/video-to-image-affordance-grounding","datasets_with_task":"/datasets/task/video-to-image-affordance-grounding"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["OPRA","OPRA (28x28)"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-to-image-affordance-grounding-on-opra-1","task":"Video-to-image Affordance Grounding","dataset_variant":"OPRA (28x28)","rows":4,"metrics":["KLD","SIM","AUC-J"],"first_row_in_archive_order":{"model":"Afformer","paper":"/paper/affordance-grounding-from-demonstration-video-1","metrics":{"AUC-J":"0.89","KLD":"1.05","SIM":"0.53"},"code_links":[{"title":"showlab/afformer","url":"https://github.com/showlab/afformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/video-to-image-affordance-grounding-on-opra","task":"Video-to-image Affordance Grounding","dataset_variant":"OPRA","rows":3,"metrics":["KLD","Top-1 Action Accuracy"],"first_row_in_archive_order":{"model":"Afformer (ViTDet-B encoder)","paper":"/paper/affordance-grounding-from-demonstration-video-1","metrics":{"KLD":"1.51","Top-1 Action Accuracy":"52.27"},"code_links":[{"title":"showlab/afformer","url":"https://github.com/showlab/afformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/affordance-grounding-from-demonstration-video-1","title":"Affordance Grounding from Demonstration Video to Target Image","date":"2023-03-26","rows_on_this_dataset":3,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-visual-affordance-grounding-from","title":"Learning Visual Affordance Grounding from Demonstration Videos","date":"2021-08-12","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/grounded-human-object-interaction-hotspots","title":"Grounded Human-Object Interaction Hotspots from Video","date":"2018-12-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/demo2vec-reasoning-object-affordances-from","title":"Demo2Vec: Reasoning Object Affordances From Online Videos","date":"2018-06-01","rows_on_this_dataset":2,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"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."}