81–90 of 140 posts
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 other hand if the product has a barcode I always scan it in because that is convenient.
If you're eatting a lot of food with barcodes on it then your doing it wrong.
Would decrease cheating perhaps?
Maybe a combination of spectrometer, weight, and photos would be a future solution. I certainly don't have an idea of how it would be implemented, but I think using data from all 3 of those sources could be a good step.
Isn't it strange that in [1] the beginning of the "Normal" BMI has more risk of death than the beginning of the "Obese"? I'd even venture to say that the "Overweight" range has, in average, lower Mortality Risk than the "Normal". PS, another plus for the Metric System. The Imperial System form includes Feet+Inches, while the metric one only needs Centimeters for the height. [1] https://www.infino.me/join/
Don't be absurd. There's no reason one couldn't choose to input inches only, or decimal feet, or metres, decimetres and centimetres, or decimal kilometres.
1. Knowing what the hell a (example) rhubarb is or looks like.
2. Knowing if it looks fresh or about to go bad.
Being able to aim a camera slowly across an isle with it getting highlighted would solve first problem. Spinning vegetable around in front of the camera would could solve second. So, try that and make it a paid app.
I won't trust an AI until it has a massive database and a million users. Until then, it's just not going to work well enough. You also need to convince users why they should use your app, instead of MyFitnessPal (which already has a massive database, including barcodes.)
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... UI needs work. Would love feedback on how to make food logging more intuitive.
Thanks for allowing one to try it out without logging in via another service; it'd be great to be able to actually have an account.
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... UI needs work. Would love feedback on how to make food logging more intuitive.