KITTI-STEP Image Semantic Segmentation Dataset

STEP stands for The Segmenting and Tracking Every Pixel benchmark, which includes 21 training sequences and 29 test sequences. This dataset is based on the KITTI Tracking Evaluation and Multi-Object Tracking and Segmentation (MOTS) benchmarks.

This dataset adds dense pixel segmentation labels for each pixel. In this benchmark, each pixel has a semantic label and all pixels belonging to the most salient object categories (cars and pedestrians) have a unique tracking ID.