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Semantic Segmentation on the Kitti dataset

A deep neural network is trained for the task of semantic segmentation of images.

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Data

The data used is the The KITTI road data.

The specific dataset file used can be downloaded with this link

Preparing the data

Notes coming soon.

Model architecture

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Results

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A semantic Segmentation model used to identify road surfaces for self-driving car applications. Implemented in Tensorflow and trained on the Kitti Road Dataset.

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