Traffic Light Classifier
A Traffic Light Classifier model built by extraction of the feature Average Brightness for the 3 sub-sections of a traffic light image corresponding to the 3 colors 1)Red 2)Yellow 3)Green
The feature Average Brightness is calculated by summing up the Value Parameter of image pixels(in 3 sub-sections) in HSV Color Space and then dividing the sum by the total area of the sub-sections of the image corresponding to the 3 colors respectively
The Classifier model attains an accuracy of 98.9 % with misclassifying only 3 images in the test-dataset.
Traffic Light Images Examples
Traffic Light Classification Results
a) Red Light Classification
b) Yellow Light Classification
c) Green Light Classification
