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Datasets › ICFG-PEDES

ICFG-PEDES (Identity-Centric and Fine-Grained Person Description Dataset)

1 Jul 2021 archive 2025-07-28

One large-scale database for Text-to-Image Person Re-identification, i.e., Text-based Person Retrieval.

Compared 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.

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Text based Person Retrieval ICFG-PEDES APTM R@1 68.51 Towards Unified Text-based Person Retrieval: A... Shuyu-XJTU/APTM 12 Compare
Text-based Person Retrieval with Noisy Correspondence ICFG-PEDES RDE Rank 1 66.54 Noisy-Correspondence Learning for Text-to-Image Person... QinYang79/RDE 6 Compare
Image Retrieval ICFG-PEDES SSAN rank-1 54.23 Semantically Self-Aligned Network for Text-to-Image... zifyloo/SSAN 1 Compare

Papers archive 2025-07-28

15 shown of 15 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 16. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
MARS: Paying more attention to visual attributes for text-based person search 1 1 5 Jul 2024 not harvested
From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search 1 1 16 Apr 2024 not harvested
Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval 0 1 4 Dec 2023 not harvested
VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search 0 1 13 Nov 2023 not harvested
Noisy-Correspondence Learning for Text-to-Image Person Re-identification 1 2 19 Aug 2023 ran 12 of 14 samples (2 unverified; 14 pointer-only for licence)
An Empirical Study of CLIP for Text-based Person Search 1 1 19 Aug 2023 not harvested
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark 1 1 5 Jun 2023 ran 6 of 12 samples (6 unverified)
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search 1 1 23 May 2023 ran 3 of 7 samples (4 unverified)
PLIP: Language-Image Pre-training for Person Representation Learning 1 1 15 May 2023 ran 0 of 9 samples (9 unverified)
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval 1 2 22 Mar 2023 ran 5 of 9 samples (4 unverified)
A Simple and Robust Correlation Filtering Method for Text-based Person Search 1 1 4 Nov 2022 not harvested
Deep Evidential Learning with Noisy Correspondence for Cross-Modal Retrieval 1 1 10 Oct 2022 not harvested
See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval 1 1 18 Aug 2022 not harvested
Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification 1 3 27 Jul 2021 not harvested
Learning Transferable Visual Models From Natural Language Supervision 82 1 26 Feb 2021 ran 16 of 20 samples (4 unverified; 16 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Image RetrievalPerson Re-IdentificationText based Person RetrievalText-based Person Retrieval with Noisy CorrespondencePerson SearchNLP based Person Retrival

License archive 2025-07-28

please email to chxding@scut.edu.cn to obtain the database

Modalities archive 2025-07-28

ImagesTexts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

  • ICFG-PEDES

1 variant name, as the archive lists them.

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