Datasets › SYSU-MM01-C
SYSU-MM01-C
SYSU-MM01-C is an evaluation set that consists of algorithmically generated corruptions applied to the SYSU-MM01 test-set. These corruptions consist of Noise: Gaussian, shot, impulse, and speckle; Blur: defocus, frosted glass, motion, zoom, and Gaussian; Weather: snow, frost, fog, brightness, spatter, and rain; Digital: contrast, elastic, pixel, JPEG compression, and saturate. Each corruption has five severity levels, resulting in 100 distinct corruptions.
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 | ||||
|---|---|---|---|---|---|---|
| Person Re-Identification | SYSU-MM01-C | AGW (ResNet-50) Rank-1 (All Search) 34.42 | Deep Learning for Person Re-identification: A Survey and Outlook | layumi/Person_reID_baseline_pytorch +6 | 2 | Compare |
Papers archive 2025-07-28
2 shown of 2 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 4. 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 | |||
|---|---|---|---|---|
| Benchmarks for Corruption Invariant Person Re-identification | 1 | 1 | 1 Nov 2021 | ran 2 of 2 samples (0 unverified) |
| Deep Learning for Person Re-identification: A Survey and Outlook | 7 | 1 | 13 Jan 2020 | ran 8 of 22 samples (14 unverified; 3 pointer-only for licence) |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SYSU-MM01-C
1 variant name, as the archive lists them.
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