I am trying to learn a model for object detection. The tutorial for setting up the datablock for this task is clear. However to setup the learner what loss function(s) to use. Further what metrics are suitable for this task?
As we are predicting both bounding box and labels the loss function should account for both classification accuracy and MSE error.
I think that currently, fastai isn’t suitable for object detection although it may change in the future. There are several posts about it. Some months ago, I tried to use fastai V2 for object detection and I stopped after hitting so many problems. There are nice libraries for object detection: