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python - How to predict the class(images) which has been wrongly classified?

I am using a dataset of medical images which has about 1000 test images divided into 23 classes. I have checked online and over here as well, mostly the solutions are for arrays. For my model, I pass the test images as directory.

question from:https://stackoverflow.com/questions/65915592/how-to-predict-the-classimages-which-has-been-wrongly-classified

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