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Incremental Learning datasets

archive 2025-07-28

8 datasets carry the task tag "Incremental Learning" (the task itself: Incremental Learning), 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

Incremental Learning datasets 1–8 of 8

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
CORe50 is a dataset designed for assessing Continual Learning techniques in an Object Recognition context.
132 papers · 0 benchmarks
Permuted MNIST is an MNIST variant that consists of 70,000 images of handwritten digits from 0 to 9, where 60,000 images are used for training, and 10,000 images for test.
121 papers · 1 benchmark
Collected from top 10 most popular clothing/wearable brandname logos captured in rich visual context.
6 papers · 1 benchmark
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
3 papers · 2 benchmarks
Concept-1K contains 1023 novel concepts from six domains, including economy, culture, science and technology, environment, education, and health and medical.
1 paper · 0 benchmarks
HOWS (HOWS-CL-25)
HOWS-CL-25 (Household Objects Within Simulation dataset for Continual Learning) is a synthetic dataset especially designed for object classification on mobile robots operating in a changing environment (like a household), where it is…
1 paper · 2 benchmarks
Simulates unanticipated user needs in the deployment stage.
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.