In this competition, participants are provided with a large set of images along with their corresponding annotations in a training set. The test set contains images without annotations. The task is to predict the bounding boxes for a single object class (car) in these images as accurately as possible.

The images cover a variety of scenes of parking spaces, with cars of interest that vary widely in size, shape, and clarity.