Semantic-Segmentation-for-Autonomous-Vehicles
PublicThis 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.
autonomous-drivingautonomous-vehiclescomputer-visionconfusion-matrixdatasetdeep-learningevaluationfastaihistogramhyperparameter-optimization
Creat：2024-09-27T20:45:13
Update：2025-03-16T14:13:44
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