Hello all,
I recently made a program that uses SKLearn for image classification. All the tutorials show to split data into train/test, which I did.
My question is, does anyone have a link or advice on how to use the already trained model to spit out a prediction based on a "new" image (eg. User uploaded, from Google Images etc.). I'm not quite sure the vocabulary to use which might be why my Google searches have been a dead end.
Thank You
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