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It looks like a few people have had this same idea:

MealLogger: https://play.google.com/store/apps/details?id=com.wellnessfo... https://itunes.apple.com/us/app/meallogger-photo-food-journa... Odish: https://play.google.com/store/apps/details?id=net.odish.app&...

I don't know much about those apps though, so I don't know if they're actually any good.

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There is even an app (MealSnap: http://techcrunch.com/2011/04/05/too-lazy-to-count-calories-...) that goes a step further and returns back calorie estimates from a photo. (But I haven't personally used it so I can't say how good that one is either.)

It's not very good. I had that idea around the same time, tried to use MealSnap, gave up and decided the problem was on the wrong side of the difficult/interesting balance for me. After looking at the photos I took for ~a week, I felt that as a human I'd be wildly inaccurate with the calorie counts, so how on earth could a machine be better?

(Though, I was eating in a company cafeteria. Combining photos with geolocation for popular restaurants could be a good start to a more reliable, if sparse, approach.)

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