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Training example of Instance Segmentation
Description
Is there any guide on how to train an instance segmentation model for DJL?
Will this change the current api? How?
Who will benefit from this feature?
References
- list reference and related literature
- list known implementations
I think a common case would be to take a basic Mask-RCNN model from the model zoo ( e.g MxNET ) and use transfer learning to fit it to a different dataset ( in Coco Format ) ... An example of how to achieve that would be awesome