A simple traffic sign detection and classification project that uses classic Image Processing methods. Developed in the context of the C.U. V.C.

The frs.py is an fast radial symetry implementation in python, found here, which was adapted by the group to serve our needs. The notebook contains the entire identification process.

The used dataset can be found in kaggle Here. For the notebook to run, the dataset must be extracted to the dataset/ directory.

Any extra images need to be placed within the dataset/images/ directory, and the notebook function evaluateImage must be called with the desired image name