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Fine-Grained Visual Recognition datasets

archive 2025-07-28

9 datasets carry the task tag "Fine-Grained Visual Recognition" (the task itself: Fine-Grained Visual Recognition), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. 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

Fine-Grained Visual Recognition datasets 1–9 of 9

CUB-200-2011 (Caltech-UCSD Birds-200-2011)
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task.
2,235 papers · 47 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 Stanford Dogs dataset contains 20,580 images of 120 classes of dogs from around the world, which are divided into 12,000 images for training and 8,580 images for testing.
57 papers · 6 benchmarks
A new multitask action quality assessment (AQA) dataset, the largest to date, comprising of more than 1600 diving samples; contains detailed annotations for fine-grained action recognition, commentary generation, and estimating the AQA…
33 papers · 2 benchmarks
WebFG-496 is a dataset for fine-grained recognition that contains 200 subcategories of the "Bird" (Web-bird), 100 subcategories of the Aircraft" (Web-aircraft), and 196 subcategories of the "Car" (Web-car).
7 papers · 0 benchmarks
WHOI-Plankton is a collection of annotated plankton images.
6 papers · 0 benchmarks
New Plant Diseases Dataset (Image dataset containing different healthy and unhealthy crop leaves.)
This dataset is recreated using offline augmentation from the original dataset.
2 papers · 2 benchmarks
The FeatherV1 dataset is a dataset for fine-grained visual classification.
1 paper · 0 benchmarks
WikiChurches is a dataset for architectural style classification, consisting of 9,485 images of church buildings.
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.