论文标题

CityScapes-Panoptic-Parts和Pascal-Panoptic-Parts数据集用于场景理解

Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding

论文作者

Meletis, Panagiotis, Wen, Xiaoxiao, Lu, Chenyang, de Geus, Daan, Dubbelman, Gijs

论文摘要

在此技术报告中,我们提出了两个新颖的数据集,以了解图像场景。这两个数据集都具有与全景分割兼容的注释,此外,它们具有针对选定语义类别的零件级标签。本报告描述了两个数据集的格式,即注释协议,合并策略,并介绍了数据集统计信息。数据集标签以及用于处理和可视化的代码将在https://github.com/tue-mps/panoptic_parts上发布。

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.

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