A unified multi-domain benchmark spanning 10 datasets to evaluate robustness, generalization, and cross-domain learning in vision models.
The benchmark includes 10 datasets spanning: facial expression recognition, medical imaging, agriculture, driver behavior, traffic analysis, textures, and more.
All datasets are standardized into a consistent train/test structure to ensure fair evaluation.