I want to detect drivers with, or without seatbelts at cross roads and for that, as it is real time, I am going to use yolo algorithm. For training data sets (the images) I need to collect, I placed a camera. By recording it and collecting images from there, I am getting images with more noise. Can I use these images for training? Also, which yolo version should I use? What are the important points that I should consider for training datasets?
I want to use any version of yolo compatible with tensorflow.