Traffic Scene Semantic Segmentation using a Custom AlexNet-based Encoder–Decoder Architecture trained on BDD100K with PyTorch.
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Updated
Jul 3, 2026 - Python
Traffic Scene Semantic Segmentation using a Custom AlexNet-based Encoder–Decoder Architecture trained on BDD100K with PyTorch.
using the Unet model to segment images in order to find which lanes are drivable for a car
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