Datasets › Freiburg Terrains

Freiburg Terrains

Introduced by Jannik Zürn et al. in Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning1 Jan 2019 archive 2025-07-28

Freiburg Terrains consist of three parts: 3.7 hours of audio recordings of the microphone pointed at the robot wheels. It also contains 24K RGB images from the camera mounted on top of the robot. The dataset creators also provide the SLAM poses for each data collection run. The dataset can be used for terrain classification which is useful for agent navigation tasks.

Source: http://deepterrain.cs.uni-freiburg.de/ Image Source: http://deepterrain.cs.uni-freiburg.de/

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • Freiburg Terrains

1 variant name, as the archive lists them.

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