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The USyd Campus Dataset
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277Views
2019Jul 8
This video presents a long-term large-scale dataset collected for the period of one year on a weekly basis at the University of Sydney surroundings. The USyd Campus Dataset has been designed to develop, validate and test the robustness of their algorithms under wide variety of conditions. It includes multiple sensor modalities and covers various environmental conditions as well as diverse illumination, structural, and traffic changes. The dataset also includes a reduced semantic segmentation dataset with different illumination conditions and camera perspectives. A comprehensive set of tools are also provided to facilitate its use by researchers and practitioners to evaluate the robustness of their algorithms.

Follow along using the transcript.

Stephany Berrío

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