Comments (1)
Hello!
As I understood from Your message, You need a strategy to create pairs of original and ground-truth documents for new dataset and than, train neural network on it?
It is sad, but making ground-truth is hard and boring process. You can't make it fully automatized. Best way is to process images with neural network with existing waits, and than find "bad" parts of images and process them by your hand. So You combine work of neural network and your own hand-work.
from robin.
Related Issues (11)
- DBICO2017 article HOT 1
- . HOT 1
- Example command for train with the parameters HOT 1
- tensorflow and keras version HOT 3
- run code problem HOT 3
- Traing strategy HOT 12
- FineTuning and Resume training HOT 5
- Achieving Speed and Accuracy HOT 2
- Missing TensorFlow in requirements.txt HOT 1
- Add LFS support to add weight file? HOT 1
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from robin.