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A tutorial on how to train a TensorFlow Lite model and make it compatible with ML Kit

Jupyter Notebook 80.22% Python 14.31% Kotlin 0.09% Ruby 1.17% Swift 0.44% Objective-C 0.02% Dart 3.75%

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mlkit-custom-model's Issues

Why confidence is bigger than 1

I am using the demo and it shows confidence greater than 1 for example IMAGE LABELER: labeler response: daisy confidence: 8.07. How to train the model so that the confidence is in the range [0,1]. I need to show my result in percent so confiedence must be in range [0,1]. Please help me. Update the model.py. I have one more question: When do you custom object detection model for google colab?

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