{"url":"/dataset/ade-affordance","name":"ADE-Affordance","full_name":null,"description_markdown":"ADE-Affordance is a new dataset that builds upon ADE20k, which contains annotations enabling such rich visual reasoning. \r\n\r\nSource: [Learning to Act Properly: Predicting and Explaining Affordances from Images](https://arxiv.org/pdf/1712.07576)","description_withheld":null,"homepage":"http://www.cs.utoronto.ca/~cychuang/learning2act/","introduced_date":"2017-12-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-act-properly-predicting-and","title":"Learning to Act Properly: Predicting and Explaining Affordances from Images","first_author":"Ching-Yao Chuang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Visual Reasoning","url":"/task/visual-reasoning","datasets_with_task":"/datasets/task/visual-reasoning"}],"languages":[],"variants":["ADE-Affordance"],"data_loaders":[],"num_papers_in_archive":3,"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."}