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You can always implement your own dataloader and implement it so it picks random annotator on the fly |
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Hi, is it possible to train with multiple annotators for each scan? In my case I have 3 annotators per scan and I would like to train where the annotator mask is randomly drawn during training, so that the network learn from all annotators.
Is this possible, besides just copying the image data 3 times and pairing the copies up with each annotator?
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