Should I go for segmentation or detection in that case?

I am building a model to detect all teeth in a video frame and classify them according to their position. There's gonna be more than one object (teeth) in each frame so using image classification is not an option.


So my question is, in that case, where all the objects are very close to each other and contiguous, should I use object detection or segmentation to label and train the model?


Thanks.

case computervision detection go segmentation