I work in an AI company. 99% of our tech relies on tried and true standard computer vision solutions instead of machine-learning based. It’s just that unreliable when production use requires pixel precision.
We might throw a gradient descent here or there, but not for any learning ops.
Any reason why Keeper isn’t on the list? Is it bad?