The NDISPark dataset is a small, manually annotated dataset of cars in parking lots, consisting of about 250 images. This dataset is challenging and describes most of the problematic situations that we can find in a real scenario: seven different cameras capture the images under various weather conditions and viewing angles. Another challenging aspect is the presence of partial occlusion patterns in many scenes such as obstacles (trees, lampposts, other cars) and shadowed cars. Furthermore, it is worth noting that images are taken during the day and the night, showing utterly different lighting conditions.
NDISPark is precisely annotated with instance segmentation labels.
For further info: luca.ciampi@isti.cnr.it
