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PyTorch-DeepLab-Berkeley

This is an implementation of SpeedingHZL's DeepLab ResNet PyTorch on the Berkeley Deep Drive Dataset for semantic segmentation. The original author tested the pre-trained ResNet model on the PASCAL VOC dataset. More details can be found here.

Acknowledgement

This code is borrowed from SpeedingHZL's DeepLab ResNet PyTorch. I have no intention of copying the models or using the code for any commercial purposes. I am experimenting the model on my capstone project which involves Scene Understanding of Self Driving Cars.

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Semantic Segmentation on Berkeley Deep Drive Dataset

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