> Training a model per camera isn't necessarily a terrible idea, either. In the future I predict that we'll see more and more "on-demand" models: models that ar

> Training a model per camera isn't necessarily a terrible idea, either. In the future I predict that we'll see more and more "on-demand" models: models that are JIT optimized for a target configuration (in this case, a specific camera). Meta-learning, or perhaps learning camera embeddings to condition on, would be one way. Although that might all be implicit if you use a deep enough NN and train on a sufficiently diverse corpus of phones+photos.