I made a machine learning computer vision model trained it on a known dataset now i want to test that model performance over my dataset how to do that. I am open to suggestions and best practices please give me detailed workflow . I'd really appreciate your help . Also feel free to share references links , YouTube links etc . I'd like to mention that my model is a mix of 5 pre existing model trained on a high standard data. Hope it has learned good enough are there other ways of knowing that apart from standard metric scores.

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