How to use and obtain Thresholds to avoid sensitivity in a Multi-class Image Classifier?

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I have a Multi-class Image classifier ML model(made in PyTorch) that is integrated into a Flutter app for real-time image classification. Currently, the model is very sensitive and the predicted label quickly switches between the available classes, even with the very small vibrations (or shaking) of the phone camera, caused by holding the phone in a hand by the user. In total there are 39 labels.

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