2026-10-12T17:51:53Zhttps://www.radar-service.eu/oai/OAIHandler10.35097/17502026-10-09T10:58:11Zradar4kit
https://dx.doi.org/10.35097/1750
Michiels, Lukas
Becker, Simon
Beiser, Sebastian
Geiger, Chris
Graf, Marina
Kazenwadel, Benjamin
Rivera Cedeño, Emilio
Waldschmidt, Martin
Westermann, Manuel
Geimer, Marcus
MobimaSkidRoads Dataset
Karlsruhe Institute of Technology
2023
Engineering
dataset
Dataset
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-sa/4.0/legalcode
The MobimaSkidroads, consists of 293 images captured while driving on a skid or forest road with an industrial camera mounted on a vehicle. The dataset is completely in 16:9 landscape format and includes mixed and coniferous forests in summer and winter. The dataset includes mask and bounding box annotations for the five object classes:
- Stems (0): Trunks and cutted trees with a diameter of approx. ≥10 cm
- Trees (1): Trees with a diameter of approx. ≥10 cm
- Stumps (2): Tree stumps
- Obstacles (3): Non-passable objects not being subject to any of the other groups (e.g. stones, raised hides, way signs)
- Persons (4): Complete or partially visible humans
Instance Segmentation
Forest Dataset
Tree Objects
application/x-tar