What are people building in computer vision, and what's still painful? [D]

Excerpt

I've built a lot of ML systems over the years, mainly computer vision models optimised to run on mobile phones. For example, my previous company built the food recognition model for MyFitnessPal. I'm interested in what people are actually deploying in industry now. Are edge models still a big part of your work, are you hosting your own models, or are you mostly sending requests to APIs? What's driving that choice? More importantly, what's still a pain? I'd be interested in problems from current