 | 1 | initial version |
I am working with image recognition and classification. My current task is to detect an object that is not in any of the trained classes in order to catch objects that shouldn't be there (view img. 1). My current idea is to raise an alarm if none of the trained classes have a high confidence, but this seems like a bad idea. Has anyone dealt with a task like this? Or maybe just share some thoughts on it?
image 1
| | 2 | No.2 Revision |
I am working with image recognition and classification. My current task is to detect an object that is not in any of the trained classes in order to catch objects that shouldn't be there (view img. 1). where the camera would look at the objects one by one). My current idea is to raise an alarm if none of the trained classes have a high confidence, but this seems like a bad idea.
Has anyone dealt with a task like this? Or maybe just share some thoughts on it?
image 1
