In this project, I use what I've learned about deep neural networks and convolutional neural networks to classify traffic signs. I will train and validate a model so it can classify traffic sign images using the German Traffic Sign Dataset. After the model is trained, I will then try out the model on images of German traffic signs that I find on the web.
The goals / steps of this project are 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
The dataset is provided by CarND. It's a pickled dataset which have been already resized the images to 32x32. It contains a training, validation and test set.
Check the writeup for more result detail.