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Robust classification datasets

archive 2025-07-28

10 datasets carry the task tag "Robust classification" (the task itself: Robust classification), ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. 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

Robust classification datasets 1–10 of 10

description withheld: archive row vandalised before snapshot
16,145 papers · 91 benchmarks
Common corruptions dataset for MNIST.
54 papers · 0 benchmarks
ModelNet40-C (ModelNet-C)
ModelNet40-C is a comprehensive dataset to benchmark the corruption robustness of 3D point cloud recognition.
32 papers · 2 benchmarks
The DeepWeeds dataset consists of 17,509 images capturing eight different weed species native to Australia in situ with neighbouring flora.
23 papers · 0 benchmarks
N-ImageNet (Large-Scale Dataset for Event-Based Object Recognition)
The N-ImageNet dataset is an event-camera counterpart for the ImageNet dataset.
15 papers · 2 benchmarks
In our benchmark WHYSHIFT, we explore distribution shifts on 5 real-world tabular datasets from the economic and traffic sectors with natural spatiotemporal distribution shifts.We only pick 7 typical settings out of 22 settings and select…
3 papers · 0 benchmarks
MedMNIST-C is an open-source data set collection comprising algorithmically generated corruptions applied to the test sets of the MedMNIST collection following the concept of ImageNet-C.
2 papers · 0 benchmarks
Tiny ImageNet-R is a subset of the ImageNet-R dataset by Hendrycks et al.
2 papers · 0 benchmarks
EuroSAT-C is an open-source data set comprising algorithmically generated corruptions applied to the EuroSAT test set following the concept of ImageNet-C.
1 paper · 0 benchmarks
Tiny ImageNet-A is a subset of the Tiny ImageNet test set consisting of 3,374 images comprising real-world, unmodified, and naturally occurring examples that are misclassified by ResNet-18.
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.