How to train ze models right!?

Hello Hans and "ze" others,
I was wondering, how you are training models to get ze best results?

Is it possible to use something as simple as Teachable Machines to train a couple of objects, load the model.tflite into my project and then using vision camera have it detect the objects I trained?

I've basically set everything up for that atm, but the camera always only detects the same object, even if it's not showing or I hold other object into the camera.

I've also told AI to make me a model trainer for this based on python, which using tensorflow and things like EfficientNetB0 or MobileNetV2 created models and labels, but here also the same problem came up - it will always just detect one class from the set and nothing else.

Is training my model using Teachable Machines just a really stupid approach? If so what would Brian Boitano do?

Start by reproducing the issue with the model.tflite file, the Vision Camera setup, and the Python trainer described in the report. Compare the trained class labels and model outputs with the object-detection inputs expected by the project. Done means identifying why every input maps to one class and documenting a working training or integration path.