The Vistas-NP dataset is an out-of-distribution detection dataset based on the Mapillary Vistas dataset. The original Vistas dataset consists of 18,000 training images and 2,000 validation images with 66 classes. In Vistas-NP the human classes are used as outliers due to their dispersion across scenes and visual diversity from other objects. The dataset is created by excluding all images with class person and the three rider classes to the test subset. Consequently, the dataset has 8,003 train images and 830 validation images. The test set contains 11,167.