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Zero-shot Image Retrieval datasets

archive 2025-07-28

8 datasets carry the task tag "Zero-shot Image Retrieval" (the task itself: Zero-shot Image Retrieval), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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

Zero-shot Image Retrieval datasets 1–8 of 8

ImageNet-R (ImageNet-Rendition)
ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video game renditions of ImageNet classes.
481 papers · 5 benchmarks
COCO-CN is a bilingual image description dataset enriching MS-COCO with manually written Chinese sentences and tags.
21 papers · 1 benchmark
Recent accelerations in multi-modal applications have been made possible with the plethora of image and text data available online.
17 papers · 0 benchmarks
Flickr30k-CNA (Flickr30k-Chinese All)
Former Flickr30k-CN translates the training and validation sets of Flickr30k using machine translation and manually translates the test set.
7 papers · 1 benchmark
XTD10 is a dataset for cross-lingual image retrieval and tagging consisting of the MSCOCO2014 caption test dataset annotated in 7 languages that were collected using a crowdsourcing platform.
4 papers · 0 benchmarks
WebLI (Web Language Image)
WebLI (Web Language Image) is a web-scale multilingual image-text dataset, designed to support Google’s vision-language research, such as the large-scale pre-training for image understanding, image captioning, visual question answering,…
1 paper · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
These datasets, ComCo and SimCo, designed for evaluating multi-object representation in Vision-Language Models (VLMs).
1 paper · 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.