Published June 30, 2023
| Version v1
Dataset
Open
Dataset from "Synthetic Training Data for Semantic Segmentation of the Environment from UAV Perspective"
Creators
- 1. German Aerospace Center (DLR); Technical University Braunschweig
- 2. German Aerospace Center (DLR)
Description
This dataset contains the images and ground truth label masks for semantic segmentation created and described in "Hinniger, C.; Rüter, J. Synthetic Training Data for Semantic Segmentation of the Environment from UAV Perspective. Aerospace 2023, 10, 604. https://doi.org/10.3390/aerospace10070604".
Files
hinnigerRuter23simToReal_dataset.zip
Files
(8.0 GB)
| Name | Size | Download all |
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md5:0eefa8e57852e35a98f3abd4d455b882
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8.0 GB | Preview Download |
Additional details
Related works
- Is published in
- Journal article: 10.3390/aerospace10070604 (DOI)