ADE-OoD
ADE-OoD is a public benchmark for dense out-of-distribution detection in general natural images. It measures the ability to detect and localize objects which are out-of-distribution with respect to the 150 categories of the ADE20k semantic segmentation dataset. The benchmark data and annotations are available for download at the project page: ade-ood.github.io/