At the moment I am working on a vehicle counting & classification project. For a specific part in the project I need to get back only the completely visible vehicles from my input data (images). I am wondering if this could be done (more) automatically in the following way:
- zoom in such that only approximately one van would be visible
- divide the vehicles into two categories: truncated and non-truncated
- train on these two classes
- After training and testing, use the model to find the completely visible vehicles.
So the main question is, is it possible that this would give sufficient results or should I try to find another solution?