{"url":"/dataset/icfg-pedes","name":"ICFG-PEDES","full_name":"Identity-Centric and Fine-Grained Person Description Dataset","description_markdown":"One large-scale database for Text-to-Image Person Re-identification, i.e., Text-based Person Retrieval. \r\n\r\nCompared with existing databases, ICFG-PEDES has three key advantages. First, its textual descriptions are identity-centric and fine-grained. Second, the images included in ICFG-PEDES are more challenging, containing more appearance variability due to the presence of complex backgrounds and variable illumination. Third, the scale of ICFG-PEDES is larger.","description_withheld":null,"homepage":"https://github.com/zifyloo/SSAN","introduced_date":"2021-07-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"please email to chxding@scut.edu.cn to obtain the database","url":"https://github.com/zifyloo/SSAN"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"},{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Text based Person Retrieval","url":"/task/nlp-based-person-retrival","datasets_with_task":"/datasets/task/nlp-based-person-retrival"},{"name":"Text-based Person Retrieval with Noisy Correspondence","url":"/task/text-based-person-retrieval-with-noisy","datasets_with_task":"/datasets/task/text-based-person-retrieval-with-noisy"},{"name":"Person Search","url":"/task/person-search","datasets_with_task":"/datasets/task/person-search"},{"name":"NLP based Person Retrival","url":"/task/nlp-based-person-retrival-1","datasets_with_task":"/datasets/task/nlp-based-person-retrival-1"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ICFG-PEDES"],"data_loaders":[],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/text-based-person-retrieval-on-icfg-pedes","task":"Text based Person Retrieval","dataset_variant":"ICFG-PEDES","rows":12,"metrics":["R@1","Rank-1","R@5","R@10","mAP","mINP","Rank-10","Rank-5"],"first_row_in_archive_order":{"model":"APTM","paper":"/paper/towards-unified-text-based-person-retrieval-a","metrics":{"R@1":"68.51","mAP":"41.22"},"code_links":[{"title":"Shuyu-XJTU/APTM","url":"https://github.com/Shuyu-XJTU/APTM"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/text-based-person-retrieval-with-noisy-1","task":"Text-based Person Retrieval with Noisy Correspondence","dataset_variant":"ICFG-PEDES","rows":6,"metrics":["Rank 1","Rank-10","Rank-5","mAP","mINP"],"first_row_in_archive_order":{"model":"RDE","paper":"/paper/noisy-correspondence-learning-for-text-to","metrics":{"Rank 1":"66.54","Rank-10":"86.70","Rank-5":"81.70","mAP":"39.08","mINP":"7.55"},"code_links":[{"title":"QinYang79/RDE","url":"https://github.com/QinYang79/RDE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-retrieval-on-icfg-pedes","task":"Image Retrieval","dataset_variant":"ICFG-PEDES","rows":1,"metrics":["rank-1"],"first_row_in_archive_order":{"model":"SSAN","paper":"/paper/semantically-self-aligned-network-for-text-to","metrics":{"rank-1":"54.23"},"code_links":[{"title":"zifyloo/SSAN","url":"https://github.com/zifyloo/SSAN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mars-paying-more-attention-to-visual","title":"MARS: Paying more attention to visual attributes for text-based person search","date":"2024-07-05","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/from-data-deluge-to-data-curation-a-filtering","title":"From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search","date":"2024-04-16","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/cross-modal-adaptive-dual-association-for","title":"Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval","date":"2023-12-04","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/vgsg-vision-guided-semantic-group-network-for","title":"VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search","date":"2023-11-13","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/noisy-correspondence-learning-for-text-to","title":"Noisy-Correspondence Learning for Text-to-Image Person Re-identification","date":"2023-08-19","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":12,"samples_unverified":2,"pointer_only_for_licence":14,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/an-empirical-study-of-clip-for-text-based","title":"An Empirical Study of CLIP for Text-based Person Search","date":"2023-08-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/towards-unified-text-based-person-retrieval-a","title":"Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark","date":"2023-06-05","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":12,"samples_ran":6,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/rasa-relation-and-sensitivity-aware","title":"RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search","date":"2023-05-23","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":3,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/plip-language-image-pre-training-for-person","title":"PLIP: Language-Image Pre-training for Person Representation Learning","date":"2023-05-15","rows_on_this_dataset":1,"code_links":1,"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/cross-modal-implicit-relation-reasoning-and","title":"Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval","date":"2023-03-22","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":5,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-simple-and-robust-correlation-filtering","title":"A Simple and Robust Correlation Filtering Method for Text-based Person Search","date":"2022-11-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deep-evidential-learning-with-noisy","title":"Deep Evidential Learning with Noisy Correspondence for Cross-Modal Retrieval","date":"2022-10-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/see-finer-see-more-implicit-modality","title":"See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval","date":"2022-08-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/semantically-self-aligned-network-for-text-to","title":"Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification","date":"2021-07-27","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/learning-transferable-visual-models-from","title":"Learning Transferable Visual Models From Natural Language Supervision","date":"2021-02-26","rows_on_this_dataset":1,"code_links":82,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":20,"samples_ran":16,"samples_unverified":4,"pointer_only_for_licence":16,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":6,"samples_harvested":71,"samples_ran":42,"samples_unverified":29,"pointer_only_for_licence":30,"papers_with_no_sample_that_ran":1,"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."}