Context: I am running my microphone continuous inferencing example in an Arduino nano 33 BLE after downloading the Arduino zip library, with my 6 class classification model.
I have a good model with 94% accuracy and 0.36 loss. The inference works really well using the live classification feature with the nano and WebUSB. But when I export it as Arduino library and compile it on my nano33, the inferences make no sense, it almost looks like the naming or the order of the percentages is wrong. For example in complete silence, running the inference on my device keeps giving +80% on shower sounds as well as Faucet sounds, never silence. Then I run with the same device on the live classification in Edge Impulse and it works flawlessly.
Also, the example code is untouched.
Does anyone have any idea of what could be happening?
Thanks in advance,