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Semantic Segmentation for Self-Driving Cars

Semantic Segmentation is an Image Classification task where you a label each pixel of an image with a corresponding class that it belongs to. For example, the "Traffic Signs" are represented by a yellow mask over them, while the "lamp posts" are represented by a blue mask.

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Implementation of U-Net Architecture using Keras to perform Semantic Segmentation on the dataset captures via CARLA self-driving car simulator.

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