Name		Name	Last commit message	Last commit date
.gitignore		.gitignore
README.md		README.md
architectures.py		architectures.py
base.py		base.py
data_processing.py		data_processing.py
image_processing.py		image_processing.py
shadow_pattern.jpg		shadow_pattern.jpg
train.py		train.py
video_feed.py		video_feed.py
viz.py		viz.py

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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.

ronny.rest/portfolio/kitti_seg

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