My project is an implementation of CNN's, and we all know that they require a large amount of training data. So the first obstruction in my way was a correclty labeled dataset of images. So I went around my college and recorded a lot of videos(of all types of roads and also offroads).Then I wrote a basic python script to save images from the video(I saved 1 image out of every 5 frames, because the consecutive frame are almost identical). I collected almost 10000 such images almost 3300 for each class(i.e. left right and center).
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