FraunhoferIOSB/goose_dataset
Official GOOSE Dataset Repository.
This project provides the German Outdoor and Offroad Dataset (GOOSE), a collection of annotated image and point cloud data specifically for unstructured off-road environments. It helps researchers and engineers working with mobile robots develop and test perception models. You get raw sensor data and corresponding labels, which can be used to train and benchmark deep learning models for tasks like semantic segmentation in rough terrain.
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Use this if you are a robotics researcher or engineer developing autonomous systems that need to navigate and understand complex, unstructured outdoor environments.
Not ideal if your focus is on structured environments like urban roads or indoor settings, as this dataset is tailored for off-road conditions.
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Language
Python
License
MIT
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Last pushed
May 28, 2025
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