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Image-text Retrieval datasets

archive 2025-07-28

5 datasets carry the task tag "Image-text Retrieval" (the task itself: Image-text Retrieval), ordered by the archive's paper count. Page 1 of 1: 5 shown of 5. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Image-text Retrieval datasets 1–5 of 5

NoW (Noise of Web)
Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark for robust image-text matching/retrieval models.
2 papers · 0 benchmarks
IMPACT Patent (A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents)
It is a large-scale multimodal patent dataset with detailed captions for design patent figures.
1 paper · 1 benchmark
LeafNet (LeafNet: A large-scale dataset for training image-text models in leaf disease identification)
The PlantVillage dataset, with over 54,000 images spanning 14 plant species and 26 disease types, has been widely used for leaf disease classification.
1 paper · 1 benchmark
Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark for robust image-text matching/retrieval models.
1 paper · 0 benchmarks
InpaintCOCO is a benchmark to understand fine-grained concepts in multimodal models (vision-language) similar to Winoground.
0 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.