NAO (Natural Adversarial Object)

Introduced by Lau et al. in Natural Adversarial Objects

Natural Adversarial Objects (NAO) is a new dataset to evaluate the robustness of object detection models. NAO contains 7,934 images and 9,943 objects that are unmodified and representative of real-world scenarios, but cause state-of-the-art detection models to misclassify with high confidence.

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