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Small Data Image Classification datasets

archive 2025-07-28

9 datasets carry the task tag "Small Data Image Classification" (the task itself: Small Data Image Classification), 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

Small Data Image Classification datasets 1–9 of 9

description withheld: archive row vandalised before snapshot
16,145 papers · 91 benchmarks
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images.
9,045 papers · 51 benchmarks
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
TMED (Tufts Medical Echocardiogram Dataset)
TMED is a clinically-motivated benchmark dataset for computer vision and machine learning from limited labeled data.
10 papers · 0 benchmarks
The Ecoli dataset is a dataset for protein localization.
9 papers · 0 benchmarks
DEIC Benchmark (Data-Efficient Image Classification Benchmark)
DEIC is a benchmark for measuring the data efficiency of models in the context of image classification.
3 papers · 3 benchmarks
This ImageNet version contains only 50 training images per class while the original testing set remains unchanged.
1 paper · 1 benchmark
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.