csiro-robotics/WildScenes
[IJRR2024] The official repository for the WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Natural Environments
This project offers a comprehensive dataset and benchmarks for researchers and engineers developing robotic perception systems for natural, unstructured environments. It provides richly annotated 2D images and 3D LiDAR point clouds of outdoor scenes, along with tools to visualize this data. The primary users are robotics researchers or engineers working on autonomous systems that operate in wildland, agricultural, or disaster relief settings.
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Use this if you are developing or evaluating deep learning models for semantic segmentation on real-world natural environment data, particularly for applications like robotic navigation or environmental monitoring.
Not ideal if you are looking for a pre-built, ready-to-deploy solution for a specific application, as this is a research benchmark dataset and framework.
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Python
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Last pushed
Jun 16, 2025
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