Developed an Autonomous Driving System using the U-Net model for semantic segmentation, achieving 80% accuracy on the Cityscapes dataset. Processed video outputs with segmented objects for enhanced environment interpretation.
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Developed an Autonomous Driving System using the U-Net model for semantic segmentation, achieving 80% accuracy on the Cityscapes dataset. Processed video outputs with segmented objects for enhanced environment interpretation.
rams30/Autonomous-Driving-System-Project
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Developed an Autonomous Driving System using the U-Net model for semantic segmentation, achieving 80% accuracy on the Cityscapes dataset. Processed video outputs with segmented objects for enhanced environment interpretation.
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