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There's a huge gap between paying a couple hundred dollars for a pretty good model and investing hundreds of thousands (or millions) in hiring a team.

Certainly if you're building something mission-critical, like self-driving cars, you want to get the best possible performance (regardless of price).

But there's a whole other set of use-cases where "pretty good" is good enough (eg finding people sharing your company's logo in social media posts).




> “finding people sharing your company's logo in social media posts”

that seems very different than your comment describes.

I agree hobbyists may use these services. If a business is looking for spending “a couple hundred dollars” on a significant ML problem, that business is living in a fantasy and needs a reality check.

There is really not a market for low end cost but high specific task accuracy business problems.

Also your comparison with hiring a team is a very false dichotomy. Hiring a team may cost you $1MM but it’s amortized over all the work and projects they do. It’s not $1MM just for the in-house equivalent of this one AWK Rekognition task.




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