Datasets › McMaster

McMaster

Introduced in Color demosaicking by local directional interpolation and nonlocal adaptive thresholding1 Jan 2011 archive 2025-07-28

The McMaster dataset is a dataset for color demosaicing, which contains 18 cropped images of size 500×500.

Source: FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising Image Source: https://www4.comp.polyu.edu.hk/~cslzhang/paper/LMMSEdemosaicing.pdf

Benchmarks archive 2025-07-28

All 5 leaderboards 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.

Papers archive 2025-07-28

5 shown of 5 papers 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 101. 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
AKDT: Adaptive Kernel Dilation Transformer for Effective Image Denoising 1 3 26 Feb 2025 not harvested
Hierarchical Information Flow for Generalized Efficient Image Restoration 0 3 27 Nov 2024 not harvested
Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling 1 5 8 Jul 2023 not harvested
KBNet: Kernel Basis Network for Image Restoration 1 1 6 Mar 2023 ran 6 of 9 samples (3 unverified)
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising 8 5 11 Oct 2017 ran 0 of 7 samples (7 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • McMaster sigma15
  • McMaster sigma25
  • McMaster sigma35
  • McMaster sigma50
  • McMaster sigma75
  • McMaster

6 variant names, as the archive lists them.

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