Comments (1)
@MheadHero
There are a few ways. But there are other important things that you may want to consider before moving into the validation loss path. One thing is that in object detection, you can also check out overfitting using the mAP that is shown after each epoch for the validation dataset.
What I am asking is that before working on the validation loss part, you may want to discuss this with your teammates/guide and then finalize it. The reason I am saying this is because validation mAP can also be used to check whether a model is overfitting or not and following the standard method you will be able to make other major/architectural changes to the model down the line which may be beneficial.
from fasterrcnn-pytorch-training-pipeline.
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from fasterrcnn-pytorch-training-pipeline.