Best practices to image annotation for object detection when objects overlap
If I have the following example:
How should I annotate the bottom image? I can think of those scenarios:
- Create a large box that captures class B and a second box that captures entirely class A. This will lead to overlapping boxes. Result:
- Create two boxes that do not overlap, but also do not covers the objects entirely. Result:
I think the right choice is scenario 1, but will the algorithm be able to capture this difference? Considering SSD, YOLO.
Topic object-detection labelling
Category Data Science