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I have document scans to be cleaned. How do I go about training a new model for it. I can also get clean counter-parts of the same for noisy-clean pair, but dont know how to initiate training for them. And how many of them would I need for training to get significant results?
The text was updated successfully, but these errors were encountered:
In that case, it is better to create dedicated dataset for your task to train standard denoising model instead of using noise2noise framework as you mentioned (can also get clean counter-parts of the same for noisy-clean pair).
For this, this implementation is not suitable so please use the other implementations of standard denosing models.
I think there would be difficulty in creating noisy-clean pairs; calibrating them in pixel level.
100> pairs would be required.
I have document scans to be cleaned. How do I go about training a new model for it. I can also get clean counter-parts of the same for noisy-clean pair, but dont know how to initiate training for them. And how many of them would I need for training to get significant results?
The text was updated successfully, but these errors were encountered: