Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
This work provides new datasets for researchers in computer vision to advance scene understanding tasks, but it is incremental as it builds upon existing datasets by adding part-level annotations.
The authors introduced two new datasets, Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts, for image scene understanding, which provide panoptic segmentation annotations with part-level labels for selected classes, and they made the datasets and code publicly available.
In this technical report, we present two novel datasets for image scene understanding. Both datasets have annotations compatible with panoptic segmentation and additionally they have part-level labels for selected semantic classes. This report describes the format of the two datasets, the annotation protocols, the merging strategies, and presents the datasets statistics. The datasets labels together with code for processing and visualization will be published at https://github.com/tue-mps/panoptic_parts.