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JPEG Artifact Correction datasets

archive 2025-07-28

5 datasets carry the task tag "JPEG Artifact Correction" (the task itself: JPEG Artifact Correction), ordered by the archive's paper count. Page 1 of 1: 5 shown of 5. 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

JPEG Artifact Correction datasets 1–5 of 5

DIV2K is a popular single-image super-resolution dataset which contains 1,000 images with different scenes and is splitted to 800 for training, 100 for validation and 100 for testing.
654 papers · 3 benchmarks
BSDS500 (Berkeley Segmentation Dataset 500)
Berkeley Segmentation Data Set 500 (BSDS500) is a standard benchmark for contour detection.
261 papers · 8 benchmarks
The LIVE Public-Domain Subjective Image Quality Database is a resource developed by the Laboratory for Image and Video Engineering at the University of Texas at Austin.
18 papers · 7 benchmarks
Five classic grayscale images commonly used for image quality assessment tasks.
11 papers · 4 benchmarks
ICB (Image Compression Benchmark)
A carefully chosen set of high-resolution high-precision natural images suited for compression algorithm evaluation.
7 papers · 6 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.