TAS-NIR: A VIS+NIR Dataset for Fine-grained
Semantic Segmentation
in Unstructured Outdoor Environments

Peter Mortimer
Hans-Joachim Wuensche

Institute for Autonomous Systems Technology
Bundeswehr University Munich
PPNIV '22 (IROS 2022 Workshop)

Overview. An example VIS image with the NDVI and EVI image from the TAS-NIR dataset.
The TAS-NIR dataset contains fine-grained terrain and vegetation annotations
of 209 VIS-NIR image pairs in unstructured environments.


The TAS-NIR dataset is copyrighted and published under the Attribution-NonCommercial-ShareAlike 3.0 license. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license.


The authors gratefully acknowledge funding by the Federal Office of Bundeswehr Equipment, Information Technology and In-Service Support (BAAINBw). This webpage template is based on the Factored3D project page.