Have anyone try to do this by object detection network like yolo v3, Faster RCNN? Try to google but haven’t found research papers focus on trash detection with big data set and decent results.
The type of the trash I would like to detect are
- metal(can of coca-cola, 7up etc)
Since the garbage I want detect are semi-rigid, I think they maybe good candidates for object detection network.
The problem I have no idea how to solve is, how could I classify it is a garbage, or not a garbage?
A can or bottle may looks like a garbage for the machine even it is not a garbage(ex : coca-cola on the table)