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Zero-Shot Image Classification datasets

archive 2025-07-28

6 datasets carry the task tag "Zero-Shot Image Classification" (the task itself: Zero-Shot Image Classification), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. 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 Classification datasets 1–6 of 6

Recent accelerations in multi-modal applications have been made possible with the plethora of image and text data available online.
17 papers · 0 benchmarks
Country211 is a dataset released by OpenAI, designed to assess the geolocation capability of visual representations.
3 papers · 2 benchmarks
MineralImage5k (Benchmark for 5k raw mineral species recognition)
We present a comprehensive dataset comprising a vast collection of raw mineral samples for the purpose of mineral recognition.
1 paper · 0 benchmarks
OVIC Datasets (Open Vocabulary Image Classification Datasets)
Due to the free-form nature of the open vocabulary image classification task, special annotations are required for image sets used for evaluation purposes.
1 paper · 4 benchmarks
A truly multimodal dataset for benchmarking deep learning models on ecological tasks.
1 paper · 0 benchmarks
This dataset is the images of corn seeds considering the top and bottom view independently (two images for one corn seed: top and bottom).
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.