SnapCalorie is an app where you can take a photo of any meal and get an accurate calorie count. Created by the co-founder of Google Lens, logging a meal with SnapCalorie takes seconds and on average is more accurate than a trained nutritionist.
@daniel_baum It can! This is where we focused most of our initial training data. We did this because we heard these types of complex mixed dishes when eating out are some of the hardest to log right now. Would love to hear your feedback if you give it a try.
If this works you guys will be overnight billionaires. I really struggle to see how, even with the best machine learning, you can discern from a photo the fat content of meat for example (eg minced beef is sold as 5%, 10%, 12% and 20% fat content where I live, they all look identical).
As a daily MyFitnessPal user, I'm looking forward to testing this. Could be a game changer.
Thanks @mickc79! I'm personally really motivated by how much potential there is to make people feel better and potentially live longer.
The main reason we're charging right now is because 1) we've found we get better feedback on what to build next if it's coming from people who invested some of their own money in the product and 2) the GPUs to run the algorithm are not cheap and so we can't scale infinitely with our current funding.
With regards to the % fat you are almost certainly right that the algorithm will struggle with this. It likely makes an educated guess with average values for beef. That being said, our research suggests that a majority of the error from people logging with existing solutions comes from estimating the portion size incorrectly (+/-50% on average) and not from the classification of the ingredient. Our hope is that by doing better on this we can actually be more accurate than current approaches with far less effort in logging.
We're also working on ways to add follow up questions where you can clarify non-visual aspects like this when the algorithm thinks it may be relevant.
I hope to have you as a user soon and would love to hear more on what you think when you try it.
@wade_norris Thanks for the reply. I appreciate it (and I have paid to sign up).
However still really stuck on things like sauces (which drastically affect calorie content).
For example if I'm making a chilli or a bolognese how can you ascertain via an image if i've used some sugar laden sauce from a jar, vs plain chopped tomatoes?
Anyway I will give it a bash for a month and see how it goes.
@mickc7 You're absolutely right that sometimes it will have to just guess average values for dishes if there aren't other visual cues. This is similar to how most people are logging right now in a lot of ways (e.g. I'm eating chilli so I'll just look up the average value in a database).
The big difference is that our algorithm is more accurate at the portion size estimation part.
In general we want to make logging easier and hope people leverage the average values over time as more of a signal than the exact values for each meal.
Can't wait to hear your feedback as you try it out! Feel free to email me any time with questions or feedback. wnorris@snapcalorie.com
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AI and data related idea. I like this but it should be accurate to use for everyone
@hello_from_outside Hey John, thanks for the kind words! What do you mean by accurate to use for everyone?
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@wade_norris There are so many types of food in the world and I wanted to point out that measuring every type of food's calories is a very difficult process :)
Congrats!
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