Simple classification problem of traffic signs using tensorflow
model.py contains code for training,validation and testing.
datacv.py contains function for reading the data and storing the images and labels seperately
Dataset used:"BelgiumTS for Classification (cropped images), which are called "BelgiumTSC_Training" and "BelgiumTSC_Testing" http://btsd.ethz.ch/shareddata/ You’ll see that the testing, as well as the training data folders, contain 61 subfolders, which are the 62 types of traffic signs that is used for classification. Files have the file extension .ppm or Portable Pixmap Format.