HungryBot

AI

food image recognition

SHOW HN2016

202points
127comments
#134of 2,264 in 2016
Top 6%of 2016 by points

How HN took it

CuriousMostly questions and neutral comments

11 positive, 32 neutral or asking, 3 mixed, 10 critical, out of 56 comments about the project. Thread score +0.04.

Execution: 3 for, 3 againstIdea: 3 for, 2 againstPerformance: 1 for, 3 againstDesign: 0 for, 2 againstDocs: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Classification accuracy is impressive

    From 2 comments
    • The classification looks good, congrats!. Where did you get the million labeled images to train your classifier?
      npalli on HN
    • Built using those newfangled convolutional neural network things. Trained caffe on a set of about a million food related images. Can't believe how accurate the classifier is...…
      subcosmos on HN
  • Detection is great

    From 1 comment
    • Your app kinda sucks now, but the detection is great. You could also do food identification as a service... I'm trying to use fatsecret/myfitnesspal for counting calories.…
      swah on HN

Objections

  • AI accuracy is doubtful without a large database and users

    From 1 comment
    • I would pay something like $5 per day for this if it was a real person who looks at my photos, categorizes them accurately, and enters them into MyFitnessPal. I won't trust an AI…
      nathan_f77 on HN
  • Calorie estimation is hard due to hidden fats and cooking methods

    From 3 comments
    • I agree with your suggestions for human assessment because of problem posed by food calories varying significantly due to different preparations. Take for example soda, if I gave…
      HamSession on HN
    • It would be difficult to account properly for ingredients such as butter and oil which are hard to see in a finished dish and drastically affect the calories. But people would…
      logn on HN
    • Impossible. How can someone tell whether you cooked with butter and oil, for instance?
      a_small_island on HN
  • Login via Facebook is unwelcome

    From 2 comments
    • Login via Facebook? Come on! See you next app.
      imacomputer2 on HN
    • Pretty nifty, but please consider allowing creation of an account with a simple email address, or even anonymously. I really don't want to have to connect my Facebook or other…
      zeveb on HN
  • Incompatible with some Android devices

    From 1 comment
    • This is not compatible with my device which is an LeTV X500, running Android 5.0.2. Is there any reason that it might not work? I'm in the UK, if that might be the reason.
      aembleton on HN

Requests

  • Email or anonymous accounts

    From 1 comment
    • Pretty nifty, but please consider allowing creation of an account with a simple email address, or even anonymously. I really don't want to have to connect my Facebook or other…
      zeveb on HN
  • Faster logging with fewer taps

    From 1 comment
    • I feel like its easy to make a better app if you don't try to please all use cases - just try to make the food logging in less taps. Logging in those apps takes me around 5-10…
      swah on HN
  • Serving size control

    From 1 comment
    • First thing I tried: logging /two/ Granny Smith apples manually. I had do the entire process twice because there is no (obvious) way to change the serving size to 2.
      virtualritz on HN
  • Blog post or write-up of the technical approach

    From 2 comments
    • Please do blog about the technical details, if you could post a walkthrough of setting up and training the net it would be great!
      zaroth on HN
    • Is there a writeup about how you approached this? All I see are a couple of app store links.
      natch on HN

Questions

  • Where the training data came from

    From 2 comments
    • The classification looks good, congrats!. Where did you get the million labeled images to train your classifier?
      npalli on HN
    • where did you get the annotated training data ?
      misiti3780 on HN
  • Network details and why Caffe

    From 2 comments
    • Any info on the network itself (number of layers, input resolution, pooling, dropout etc)?
      teLeopardthy on HN
    • why caffe ? why not something like h2o or tensorflow ? just curious.
      sandGorgon on HN
  • How it handles mixed plates and hidden ingredients

    From 2 comments
    • Great! And think about using the new data from the users to improve the system (that should probably be in your terms). How well does it work on plates with multiple foods "kinda…
      swah on HN
    • I've been thinking of this exact thing for a few years now, good to see others are interested too. I think there is HUGE potential for an app that can accurately (within a…
      solaxun on HN

Alternatives named

  • MyFitnessPal

    From 2 comments
    • Something like this would be a fantastic addition to MyFitnessPal. I find myself sometimes not logging food on that app because I couldn't be bothered to search for it. On the…
      AJRF on HN
    • I would pay something like $5 per day for this if it was a real person who looks at my photos, categorizes them accurately, and enters them into MyFitnessPal. I won't trust an AI…
      nathan_f77 on HN
  • Fatsecret

    From 1 comment
    • Your app kinda sucks now, but the detection is great. You could also do food identification as a service... I'm trying to use fatsecret/myfitnesspal for counting calories.…
      swah on HN
  • Logameal

    From 1 comment
    • Hey Subcomos, great work! We've been working on something pretty similar, an app called Logameal (only available in the UK). We have run into (are running into) a lot of those UI…
      gchristen on HN
  • Tuingle

    From 1 comment
    • Another app that is similar to this is called tuingle http://tuingle.com
      johnPullman on HN
  • SmartPlate

    From 1 comment
    • Theres a company in the bay area trying this approach actually! They look really interesting: https://getsmartplate.com/ Cant compete with that awesomesauce!
      subcosmos on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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