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Freiburg Forest

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Freiburg Forest

The Freiburg Forest dataset was collected using a Viona autonomous mobile robot platform equipped with cameras for capturing multi-spectral and multi-modal images. The dataset may be used for evaluation of different perception algorithms for segmentation, detection, classification, etc. All scenes were recorded at 20 Hz with a camera resolution of 1024x768 pixels. The data was collected on three different days to have enough variability in lighting conditions as shadows and sun angles play a crucial role in the quality of acquired images. The robot traversed about 4.7 km each day. The dataset creators provide manually annotated pixel-wise ground truth segmentation masks for 6 classes: Obstacle, Trail, Sky, Grass, Vegetation, and Void.

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University of Freiburg, Germany
https://uni-freiburg.de/en/
Task
Robotic Picking
Annotation Types
Semantic Segmentation
15000
Items
6
Classes
15000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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