{"url":"/dataset/deepfashion","name":"DeepFashion","full_name":null,"description_markdown":"**DeepFashion** is a dataset containing around 800K diverse fashion images with their rich annotations (46 categories, 1,000 descriptive attributes, bounding boxes and landmark information) ranging from well-posed product images to real-world-like consumer photos.\r\n\r\nSource: [A Benchmark for Inpainting of Clothing Images with Irregular Holes](https://arxiv.org/abs/2007.05080)","description_withheld":null,"homepage":"https://liuziwei7.github.io/projects/DeepFashion.html","introduced_date":"2016-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/deepfashion-powering-robust-clothes","title":"DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations","first_author":"Ziwei Liu","url":null},"license":{"name":"Custom (research-only, non-commercial, attribution)","url":"http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html#:~:text=Agreement"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"},{"name":"Image-to-Image Translation","url":"/task/image-to-image-translation","datasets_with_task":"/datasets/task/image-to-image-translation"},{"name":"Virtual Try-on","url":"/task/virtual-try-on","datasets_with_task":"/datasets/task/virtual-try-on"},{"name":"Pose Transfer","url":"/task/pose-transfer","datasets_with_task":"/datasets/task/pose-transfer"},{"name":"Unsupervised Human Pose Estimation","url":"/task/unsupervised-human-pose-estimation","datasets_with_task":"/datasets/task/unsupervised-human-pose-estimation"},{"name":"Text-to-3D-Human Generation","url":"/task/text-to-3d-human-generation","datasets_with_task":"/datasets/task/text-to-3d-human-generation"}],"languages":[],"variants":["Deep-Fashion","DeepFashion"],"data_loaders":[{"repo":"https://github.com/open-mmlab/mmdetection","url":"https://github.com/open-mmlab/mmdetection/blob/master/docs/1_exist_data_model.md","frameworks":["pytorch"]},{"repo":"https://github.com/open-mmlab/mmpose","url":"https://github.com/open-mmlab/mmpose/blob/master/docs/tasks/2d_fashion_landmark.md#deepfashion","frameworks":["pytorch"]}],"num_papers_in_archive":397,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/pose-transfer-on-deep-fashion","task":"Pose Transfer","dataset_variant":"Deep-Fashion","rows":12,"metrics":["SSIM","IS","FID","DS","PCKh","LPIPS","Retrieval Top10 Recall"],"first_row_in_archive_order":{"model":"DiOr","paper":"/paper/dressing-in-order-recurrent-person-image","metrics":{"SSIM":"0.806"},"code_links":[{"title":"cuiaiyu/dressing-in-order","url":"https://github.com/cuiaiyu/dressing-in-order"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-to-image-translation-on-deep-fashion-1","task":"Image-to-Image Translation","dataset_variant":"Deep-Fashion","rows":2,"metrics":["FID"],"first_row_in_archive_order":{"model":"INADE","paper":"/paper/diverse-semantic-image-synthesis-via","metrics":{"FID":"9.97"},"code_links":[{"title":"tzt101/INADE","url":"https://github.com/tzt101/INADE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/virtual-try-on-on-deep-fashion","task":"Virtual Try-on","dataset_variant":"Deep-Fashion","rows":2,"metrics":["IS","SSIM"],"first_row_in_archive_order":{"model":"MG-VTON","paper":"/paper/towards-multi-pose-guided-virtual-try-on","metrics":{"IS":" 3.03","SSIM":"0.744"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-retrieval-on-deepfashion","task":"Image Retrieval","dataset_variant":"DeepFashion","rows":1,"metrics":["Recall@20"],"first_row_in_archive_order":{"model":"RCCapsNet","paper":"/paper/fashion-image-retrieval-with-capsule-networks","metrics":{"Recall@20":"84.6"},"code_links":[{"title":"birdortyedi/image-retrieval-with-capsules","url":"https://github.com/birdortyedi/image-retrieval-with-capsules"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/text-to-3d-human-generation-on-deepfashion","task":"Text-to-3D-Human Generation","dataset_variant":"DeepFashion","rows":1,"metrics":["CLIP Score","Depth Error","Fashion Accuracy","Frechet Inception Distance","Percentage of Correct Keypoints"],"first_row_in_archive_order":{"model":"CCH","paper":"/paper/text-guided-3d-human-generation-from-2d","metrics":{"CLIP Score":"25.031","Depth Error":"1.21","Fashion Accuracy":"72.038","Frechet Inception Distance":"22.175","Percentage of Correct Keypoints":"88.313"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/learning-flow-fields-in-attention-for","title":"Learning Flow Fields in Attention for Controllable Person Image Generation","date":"2024-12-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":0,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; 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not a correctness claim."}},{"paper":"/paper/bipartite-graph-reasoning-gans-for-person","title":"Bipartite Graph Reasoning GANs for Person Image Generation","date":"2020-08-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/xinggan-for-person-image-generation","title":"XingGAN for Person Image Generation","date":"2020-07-17","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/region-adaptive-texture-enhancement-for","title":"Region-adaptive Texture Enhancement for Detailed Person Image Synthesis","date":"2020-05-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/cross-domain-correspondence-learning-for","title":"Cross-domain Correspondence Learning for Exemplar-based Image Translation","date":"2020-04-12","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/controllable-person-image-synthesis-with","title":"Controllable Person Image Synthesis with Attribute-Decomposed GAN","date":"2020-03-27","rows_on_this_dataset":1,"code_links":2,"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/guided-image-to-image-translation-with-bi-1","title":"Guided Image-to-Image Translation with Bi-Directional Feature Transformation","date":"2019-10-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/poly-gan-multi-conditioned-gan-for-fashion","title":"Poly-GAN: Multi-Conditioned GAN for Fashion Synthesis","date":"2019-09-05","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/fashion-image-retrieval-with-capsule-networks","title":"Fashion Image Retrieval with Capsule Networks","date":"2019-08-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/progressive-pose-attention-transfer-for","title":"Progressive Pose Attention Transfer for Person Image Generation","date":"2019-04-06","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":0,"samples_unverified":9,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/towards-multi-pose-guided-virtual-try-on","title":"Towards Multi-pose Guided Virtual Try-on Network","date":"2019-02-28","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deformable-gans-for-pose-based-human-image","title":"Deformable GANs for Pose-based Human Image Generation","date":"2017-12-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/disentangled-person-image-generation","title":"Disentangled Person Image Generation","date":"2017-12-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/pose-guided-person-image-generation","title":"Pose Guided Person Image Generation","date":"2017-05-25","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":5,"samples_harvested":24,"samples_ran":5,"samples_unverified":19,"pointer_only_for_licence":6,"papers_with_no_sample_that_ran":2,"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."}