this NAS is in my watched list. But it is pretty new for share a heavy experiences. Then still watching.
To be sure, deep learning is about learning, of course. In the case of such "detection" from images (the video source is composed from static images), all the detection outputs are based on hierarchically defining specific features of images . No one knows what kind of algorithms are in usage in this NAS model. But we need such pioneers like you @outie
- to know, if the current Synology approach is good or not. @outie
- thanks for next experiences sharing to future.
It is not easy as for Machine learning, where you need just structured data relationship evaluation. The Deep learning is really challenge or a misery with pieces of paper crossing the line
BTW: Classification of True vs. False and Positive vs. Negative is one of powerful approach in Machine learning practice. Then Question is, if there is an input, how to tell to the algorithm, that it was TP, TN, FP, FN user's evaluation - because it is still about the learning (or not).
And we know, that immature sw or precocious issued/not tested deeply sw is part of Synology approach. But sometime they provide really good job!