Cityscapes 3D is an extension of the original Cityscapes with 3D bounding box annotations for all types of vehicles as well as a benchmark for the 3D detection task. For more details please refer to our paper, presented at the CVPR 2020 Workshop on Scalability in Autonomous Driving. Today, we […]
News
Cityscapes 3D is an extension of the original Cityscapes with 3D bounding box annotations for all types of vehicles as well as a benchmark for the 3D detection task. For more details please refer to our paper, presented at the CVPR 2020 Workshop on Scalability in Autonomous Driving. Today, we […]
Cityscapes 3D Dataset Released
Cityscapes 3D is an extension of the original Cityscapes with 3D bounding box annotations for all types of vehicles as well as a benchmark for the 3D detection task. For more details please refer to our paper, presented at the CVPR 2020 Workshop on Scalability in Autonomous Driving. Both, dataset […]
Coming Soon: Cityscapes 3D
The Cityscapes dataset is again part of the Robust Vision Challenge. The goal of this challenge is to foster the development of vision systems that are robust and consequently perform well on a variety of datasets with different characteristics. Towards this goal, performance is measured across a number of challenging benchmarks with different […]
Robust Vision Challenge 2020
The Cityscapes benchmark suite now includes panoptic segmentation [1], which combines pixel- and instance-level semantic segmentation. Our toolbox offers ground truth conversion and evaluation scripts. Our evaluation server and benchmark tables have been updated to support the new panoptic challenge. We thank Alexander Kirillov for helping with the implementation. [1] […]
Panoptic Segmentation
The Cityscapes dataset is used by the Robust Vision Challenge 2018 Workshop at CVPR 2018 in Salt Lake City.
Robust Vision Challenge
Our CVPR 2016 paper presenting the Cityscapes Dataset is now available. We include a detailed analysis of the dataset, baseline results, and discussions.
CVPR 2016 Paper
Our evaluation server is now online, where you can upload your results on the Cityscapes test set, they get evaluated and you receive an email once this is done.
Evaluation Server Online
We just released the initial benchmark results for pixel-level semantic labeling.
Initial Semantic Labeling Results
The Cityscapes Dataset is finally released. Please register and, upon approval, start downloading the data.