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The output of a typical image classification model is a list of probabilities for categories that the image might contain. The category with the highest probability corresponds to what the model “thinks“ the image represents.

📑 Object detection

If you need to know what is on your image and where it is located in your image, object detection might be the most suitable training type for your use case.

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