Datasets › SIDD
SIDD (Smartphone Image Denoising Dataset)
SIDD is an image denoising dataset containing 30,000 noisy images from 10 scenes under different lighting conditions using five representative smartphone cameras. Ground truth images are provided along with the noisy images.
Source: A High-Quality Denoising Dataset for Smartphone Cameras
Benchmarks archive 2025-07-28
All 2 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.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Denoising | SIDD | CGNet PSNR (sRGB) 40.39 | CascadedGaze: Efficiency in Global Context Extraction... | Ascend-Research/CascadedGaze | 22 | Compare |
| Noise Estimation | SIDD | PNGAN PSNR Gap 0.84 | Learning to Generate Realistic Noisy Images via... | caiyuanhao1998/PNGAN +1 | 5 | Compare |
Papers archive 2025-07-28
24 shown of 24 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 245. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SIDD
1 variant name, as the archive lists them.
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