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Few-Shot Learning - 4 shots datasets

archive 2025-07-28

8 datasets carry the task tag "Few-Shot Learning - 4 shots" (the task itself: Few-Shot Learning - 4 shots), 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

Few-Shot Learning - 4 shots datasets 1–8 of 8

UCF101 (UCF101 Human Actions dataset)
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories.
1,863 papers · 23 benchmarks
Oxford 102 Flower (102 Category Flower Dataset)
Oxford 102 Flower is an image classification dataset consisting of 102 flower categories.
1,307 papers · 16 benchmarks
DTD (Describable Textures Dataset)
The Describable Textures Dataset (DTD) contains 5640 texture images in the wild.
870 papers · 8 benchmarks
The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total of 101k images.
805 papers · 14 benchmarks
The Stanford Cars dataset consists of 196 classes of cars with a total of 16,185 images, taken from the rear.
790 papers · 13 benchmarks
Eurosat is a dataset and deep learning benchmark for land use and land cover classification.
687 papers · 8 benchmarks
FGVC-Aircraft contains 10,200 images of aircraft, with 100 images for each of 102 different aircraft model variants, most of which are airplanes.
520 papers · 12 benchmarks
The Scene UNderstanding (SUN) database contains 899 categories and 130,519 images.
52 papers · 8 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.