timm ImageNet Robustness A
AI benchmark · Vision
What is timm ImageNet Robustness?
The timm leaderboard ranks image classification models across ImageNet and robustness variants including ImageNet-ReaL, ImageNetV2, ImageNet-Sketch, and ImageNet-R.
Tier A
A
Widely used: a lab reports it, or 50 or more models are scored on it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 1265 models scored
- model counts only from community leaderboards
- in curated RL directories (1 pt)
How we got to tier A
- Adoption: 1265 models scored; model counts only from community leaderboards. Tier A.
- On X: unclear, none buzz No move.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.