amramer/Semantic-Segmentation-for-Autonomous-Vehicles
This project focuses on semantic segmentation using the BDD100K dataset, a large-scale, diverse dataset for autonomous driving. The main objective is to accurately segment and identify various objects in street scenes, which is important for improving the perception capabilities of autonomous vehicles.
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MIT
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Last pushed
Oct 16, 2024
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