XImageNet (XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation)
Introduced by Li et al. in XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation
we introduce XIMAGENET-12, an explainable benchmark dataset with over 200K images and 15,600 manual semantic annotations. Covering 12 categories from ImageNet to represent objects commonly encountered in practical life and simulating six diverse scenarios, including overexposure, blurring, color changing, etc.,
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
