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- Title:
Densely Annotated Video Driving Data Set
- Document type:
- Forschungsdaten
- Publication date:
- 27.05.2021
- Responsible:
- Kuhn, Christopher
- Authors:
- Kuhn, Christopher ; Hofbauer, Markus : Xu, Murong ; Steinbach, Eckehard
- Author affiliation:
- TUM
- Publisher:
- TUM
- End date of data production:
- 09.04.2020
- Subject area:
- DAT Datenverarbeitung, Informatik
- Other subject areas:
- Semantic segmentation of video sequences
- Resource type:
- Simulationen / simulations
- Data type:
- Bilder / images; Video-Aufzeichnungen / audiovisual collection
- Other data type:
- Videos plus semantic labels
- Description:
- This data set consists of 28 video sequences of driving recorded in the CARLA simulator, resulting in a total of 10767 frames. For each frame, pixel-wise semantic labels are provided. The scenes are recorded in dynamic weather and traffic conditions.
- Method of data assessment:
- The CARLA simulator was used to record rosbags of driving data from which the images and ground-truth semantic labels were extracted.
- Links:
Article: https://mediatum.ub.tum.de/node?id=1612342& change_language=en
- Key words:
- Computer Vision; Semantic Segmentation; Autonomous Driving; Video Processing
- Technical remarks:
- View and download (5.87 GB total, 2.1536 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1596437):
rsync rsync://m1596437@dataserv.ub.tum.de/m1596437/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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