I want to detect drivers with or without seatbelts at crossroads. For that, as it is real-time, I am going to use the YOLO algorithm/model. 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.