Accuracy of model in TensorFlow Model Maker

TensorFlow General Discussion
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How can I know the accuracy of my created model using the TensorFlow model maker?

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for which task?

usually there’s a evaluate method that you run on your test data (more info here: Image classification with TensorFlow Lite Model Maker)

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Object Detection. I also want to see my confusion matrix so I can see those positive predictions. is it possible?

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I don’t know if the object detection task has a ready to use confusion matrix but you can copy the idea from the audio classification task: Transfer Learning for the Audio Domain with TensorFlow Lite Model Maker

Since the source code is open, you can, with some time, implement it on your side

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thanks! I have another question. We created a mobile app for our object detection model, and I declare there, that if the confidence score is above 50% the object is acceptable. what are the factors to consider to support our claim saying 50% confidence is acceptable.