{"url":"/dataset/chairs","name":"Chairs","full_name":null,"description_markdown":"The **Chairs** dataset contains rendered images of around 1000 different three-dimensional chair models.\r\n\r\nSource: [Adversarial Disentanglement with Grouped Observations](https://arxiv.org/abs/2001.04761)\r\nImage Source: [https://www.di.ens.fr/willow/research/seeing3Dchairs/](https://www.di.ens.fr/willow/research/seeing3Dchairs/)","description_withheld":null,"homepage":"https://www.di.ens.fr/willow/research/seeing3Dchairs/","introduced_date":"2014-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/seeing-3d-chairs-exemplar-part-based-2d-3d","title":"Seeing 3D Chairs: Exemplar Part-based 2D-3D Alignment using a Large Dataset of CAD Models","first_author":"Mathieu Aubry","url":null},"license":{"name":"Custom (non-commercial)","url":"https://www.di.ens.fr/willow/research/seeing3Dchairs/#:~:Copyright%20Notice"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Sketch-Based Image Retrieval","url":"/task/sketch-based-image-retrieval","datasets_with_task":"/datasets/task/sketch-based-image-retrieval"}],"languages":[],"variants":["Chairs"],"data_loaders":[],"num_papers_in_archive":109,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/sketch-based-image-retrieval-on-chairs","task":"Sketch-Based Image Retrieval","dataset_variant":"Chairs","rows":8,"metrics":["R@1","R@10"],"first_row_in_archive_order":{"model":"EdgeMAC + whitening","paper":"/paper/deep-shape-matching","metrics":{"R@1":"85.6","R@10":"97.9"},"code_links":[{"title":"filipradenovic/cnnimageretrieval","url":"https://github.com/filipradenovic/cnnimageretrieval"},{"title":"janesjanes/sketchy","url":"https://github.com/janesjanes/sketchy"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/deep-spatial-semantic-attention-for-fine","title":"Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval","date":"2017-10-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deep-shape-matching","title":"Deep Shape Matching","date":"2017-09-11","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/cross-modal-subspace-learning-for-fine","title":"Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval","date":"2017-05-28","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/sketch-me-that-shoe","title":"Sketch Me That Shoe","date":"2016-06-01","rows_on_this_dataset":5,"code_links":0,"syntology":null}],"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."}