DewarpNet
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folded corners and staples: dataset blind spot?
I tried this model on a set of A4 photos with very interesting results. Still, I had multiple items exposing the following defect:
- overzealous crop
- spurious distortion
The condition leading to this are apparently:
- folded corner (or, more exactly partially occlusion of a corner due to another stapled page)
- presence of a staple
- document edge touching the border of the image
- poor illumination
Details:
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distortion glitch (caused by the mere staple?)
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another distortion glitch
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overcrop (caused by illumination?)
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overcrop (caused by the folded edge?)
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overcrop + distrortion
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overcrop + distrortion
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overcrop (document's top border touching the edge of the image?)
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overcrop
Questions:
- I know the dataset is not public (but only available on demand), but I wonder if, from a quick look, you consider the current limitations to be caused by dataset's limitation or rather the chosen NN?
- In the first case, would you suggest retraining on an enriched dataset?
- If yes, do you anticipate that a limited amount of (manually) cropped (containing staples/partial corner occlusion), used with their original counterpart, for training, would significantly improve the overall detection?