This project contains code and media related to the "Finding lane lines on the road" project for Udacity Self Driving Car NanoDegree.
The goals / steps of this project were the following:
- Load the data set
- Explore, summarize and visualize the data set
- Design, train and test a model architecture
- Use the model to make predictions on new images
- Analyze the softmax probabilities of the new images
- Summarize the results with a written report
Contents:
- Traffic_Sign_Classifier.ipynb - Jupyter notebook that contains all the code written for the project
- /data - contains image files which were used during the project
- /examples - contains images used in writeup
- project_writeup.md - contains project pipeline summary and reflections on the project outcome