Hello,
as title says, I would like to use machine learning to detect traffic lights and its state (red, orange, green). I am pretty much newbie in this field, so what do I have to do?
Do I have to do some detection/template matching before I feed neural network with images and theirs ground truth?
Then neural network can only tell me if there is traffic light in this image, but not its location am I right? So if there is traffic light, I would use template matching to find its location?
Does this what I just wrote make any sense or I am far from reality?
Thanks