What could go wrong?

Training your data for bias

If we think about our Custom Vision, Mixed Reality Headset detection project example, we can train our data to be biased to detect HoloLens 2 or other headsets by giving more image samples for the specific headset. As a result the application will detect the headset with most images(ex: HoloLens 2), even when it is not the actual type of the headset in the image.

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