Datasets › RENOIR

RENOIR

Introduced by Josue Anaya et al. in RENOIR - A Dataset for Real Low-Light Image Noise Reduction29 Sep 2014 archive 2025-07-28

A dataset of color images corrupted by natural noise due to low-light conditions, together with spatially and intensity-aligned low noise images of the same scenes.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Color Image Denoising RENOIR BM3D Average PSNR 36.355 RENOIR - A Dataset for Real Low-Light Image Noise Reduction Aftaab99/DenoisingAutoencoder 2 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 12. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
RENOIR - A Dataset for Real Low-Light Image Noise Reduction 1 2 29 Sep 2014 ran 0 of 3 samples (3 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Free

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • RENOIR

1 variant name, as the archive lists them.

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