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Bad Result when trying to train model with input is images

Open qbKhanh opened this issue 1 year ago • 0 comments

This publication is so amazing. I get a very good result when use generating image while training progress (generate_indigo_image) as in your source code but it takes much time when train with large dataset.

So I separated the generating image progress out of training progress. I used with same setup to gen an image dataset then I pass this dataset to train model. But the result is very very bad. The prediction string is so long and look stupid, and the evaluation metrics are too.

I tried to visualize the image and corresponding label, nothing is wrong.

So I raise this issue hope that can hear from you some ideas or solutions to solve this problem! Thanks for spending time to read my issue!

qbKhanh avatar Oct 09 '23 09:10 qbKhanh