Happy to hear it worked out for the author and a great showcase example for the technologies. Thanks for sharing with us!

I’m tracking the performance of my mechanical watch myself for over a year now. After some experimentation I’ve settled for making a burst picture of the watch hands at exact minute with my iPhone camera and reading out the EXIF for exact timing. This solves quite a few logistical problems with the measurements.

From my point of view spending time to design an automatic ml solution to something that is caused by a watch owner and can be easily identified is less optimal than for instance automating the measurements themselves as described above.

If the author is interested in moving into that direction I’d be happy to share my experience directly.

Otherwise good luck further on and keep us posted.