CAR contains visual attributes for objects in the Cityscapes dataset. For each object in an image, we have a list of attributes that depend on the category of the object. For instance, a vehicle category has a visibility attribute while a pedestrian has an activity attribute (walking, standing, etc.).

The objective of this dataset is to ease the development of better algorithms for self-driving vehicles as that requires a complete understanding of the entire scene with all of its details including attributes of all objects.

We chose Cityscapes as it already contains different types of useful annotations and adding attributes to that will remove a huge burden over developing algorithms with self or semi supervision.