XIMAGENET-12

XIMAGENET-12 is an explainable visual benchmark dataset for model robustness evaluation. It consists of over 200K images with 15,410 manual semantic annotations. The dataset is designed to simulate real-world situations and evaluate the robustness of visual models.

Data and Resources

Cite this as

Qiang Li, Dan Zhang, Shengzhao Lei, Xun Zhao, Weiwei Li, Porawit Kamnoedboon, Junhao Dong, Shuyan Li (2024). Dataset: XIMAGENET-12. https://doi.org/10.57702/c5tgndcx

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2310.08182
Author Qiang Li
More Authors
Dan Zhang
Shengzhao Lei
Xun Zhao
Weiwei Li
Porawit Kamnoedboon
Junhao Dong
Shuyan Li
Homepage https://sites.google.com/view/ximagenet-12/home