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

التفاصيل البيبلوغرافية
العنوان: Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
المؤلفون: Meletis, Panagiotis, Wen, Xiaoxiao, Lu, Chenyang, de Geus, Daan, Dubbelman, Gijs
سنة النشر: 2020
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Computer Science - Robotics, Electrical Engineering and Systems Science - Image and Video Processing
الوصف: 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.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2004.07944
رقم الأكسشن: edsarx.2004.07944
قاعدة البيانات: arXiv