{"url":"/dataset/hico","name":"HICO","full_name":"Humans Interacting with Common Objects","description_markdown":"**HICO** is a benchmark for recognizing human-object interactions (HOI). \r\n\r\nKey features:\r\n\r\n- A diverse set of interactions with common object categories\r\n- A list of well-defined, sense-based HOI categories\r\n- An exhaustive labeling of co-occurring interactions with an object category in each image\r\n- The annotation of each HOI instance (i.e. a human and an object bounding box with an interaction class label) in all images\r\n\r\nSource: [HICO: A Benchmark for Recognizing Human-Object Interactions in Images](http://openaccess.thecvf.com/content_iccv_2015/papers/Chao_HICO_A_Benchmark_ICCV_2015_paper.pdf)","description_withheld":null,"homepage":"http://www.umich.edu/~ywchao/hico/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/hico-a-benchmark-for-recognizing-human-object","title":"HICO: A Benchmark for Recognizing Human-Object Interactions in Images","first_author":"Yu-Wei Chao","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Human-Object Interaction Detection","url":"/task/human-object-interaction-detection","datasets_with_task":"/datasets/task/human-object-interaction-detection"},{"name":"Zero-Shot Human-Object Interaction Detection","url":"/task/zero-shot-human-object-interaction-detection","datasets_with_task":"/datasets/task/zero-shot-human-object-interaction-detection"}],"languages":[],"variants":["HICO"],"data_loaders":[{"repo":"https://github.com/activeloopai/Hub","url":"https://docs.activeloop.ai/datasets/hico-classification-dataset","frameworks":["tf","pytorch"]}],"num_papers_in_archive":45,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/human-object-interaction-detection-on-hico-1","task":"Human-Object Interaction Detection","dataset_variant":"HICO","rows":8,"metrics":["mAP"],"first_row_in_archive_order":{"model":"DEFR","paper":"/paper/decoupling-object-detection-from-human-object-1","metrics":{"mAP":"65.6"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/relvit-concept-guided-vision-transformer-for-1","title":"RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning","date":"2022-04-24","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":6,"samples_unverified":4,"pointer_only_for_licence":10,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/decoupling-object-detection-from-human-object-1","title":"The Overlooked Classifier in Human-Object Interaction Recognition","date":"2021-12-13","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/pastanet-toward-human-activity-knowledge","title":"PaStaNet: Toward Human Activity Knowledge Engine","date":"2020-04-02","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/hake-human-activity-knowledge-engine","title":"HAKE: Human Activity Knowledge Engine","date":"2019-04-13","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"paper":"/paper/pairwise-body-part-attention-for-recognizing","title":"Pairwise Body-Part Attention for Recognizing Human-Object Interactions","date":"2018-07-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/attentional-pooling-for-action-recognition","title":"Attentional Pooling for Action Recognition","date":"2017-11-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-models-for-actions-and-person-object","title":"Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering","date":"2016-04-16","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/contextual-action-recognition-with-rcnn","title":"Contextual Action Recognition with R*CNN","date":"2015-05-05","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":10,"samples_ran":6,"samples_unverified":4,"pointer_only_for_licence":10,"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."}