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Damage assessment of old pictures
Oct. 4, 2022, 8 a.m. | /u/pigna9696
Deep Learning www.reddit.com
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The problem is that the images are not labeled/annotated. Also, the images are very different from each other.
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Possible damages are: black vertical bands, scratches, stains, punctures, and so on.
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I thought about different options, as image segmentation, anomaly detection, image classification.
The most appealing technique would be that of image segmentation, since it allows to easily compute the area of the …
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