Datasets › SMID
SMID (Seeing motion in the dark)
This is the low-light image enhancement dataset collected by the CVPR 2018 paper "Seeing Motion in the Dark".
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Low-Light Image Enhancement | SMID | Retinexformer PSNR 29.15 | Retinexformer: One-stage Retinex-based Transformer for... | cmhungsteve/Awesome-Transformer-Attention +4 | 1 | 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 21. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement | 5 | 1 | 12 Mar 2023 | ran 2 of 10 samples (8 unverified) |
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
No modality tagged.
Languages archive 2025-07-28
Variants archive 2025-07-28
- SMID
1 variant name, as the archive lists them.
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