UI needs work. Would love feedback on how to make food logging more intuitive.
I'm trying to use fatsecret/myfitnesspal for counting calories. Something like this could make it much easier!
To me, a better workflow would be: take pictures of everything you eat and classify later (at night, maybe on the PC). Of course, this software would simplify the classification, the user would only fix any errors and adjust sizes.
This workflow would be well suited to your app, which operates on a server? (my understanding).
Congrats, I understand the relevance of AI for simple apps now ;)
It would also work nicely for background geolocation services, since if the photograph was taken near a restaurant the service could extrapolate those things.
Anyways, I might make this project opensource and build a nice community around it. Depends on whether or not that model would best support my research goals.
How well does it work on plates with multiple foods "kinda mixed"?
Implicitly, since the app presents a list of possible identified foods, and the user can easily check multiple boxes, thats straightforward, but then having the app pull each of those items AND ask the user to estimate portions for each .... gets a little messy.
So I put that complexity off for v2. That use case in particular would also be best off for a web-interface, I think.
Cant compete with that awesomesauce!
Things like Main screen, App Icon and colour palette.
Wish you luck with the app, really cool idea!
We're working on a similar component for our commercial behavioral-economics-driven app suite, targeted toward patients with chronic diseases.
Do you use location as a way to filter the set of possible foods, as in Google's im2calories project/paper last year?
They do some pretty awesome depth calculation stuff too: https://www.google.com/?ion=1&espv=2#q=im2calories+type:pdf
Edit: oops, should have read further. I see that you pulled appropriate terms from WordNet and used ImageNet to gather training images from Flickr. Cool!