How to Track Calories and Macros With AI Photo Apps Quiz

Answers and explanations appear as you take the quiz.

1. What are the three steps in a typical photo food-logging process?
   • Scan the barcode, weigh the food, print a label
   • Identify foods, estimate portions, look up nutrients in a database
   • Take a photo, share it, get likes
   • Count chews, time the meal, estimate calories
2. Which step does the guide call the hardest?
   • Identifying a banana
   • Adding up the totals
   • Portion estimation
   • Choosing the photo angle
3. Why do home-cooked stir-fries often come out too low in calories?
   • Cooking oil is often invisible in the photo and never logged
   • Vegetables are always overestimated
   • Apps cannot recognize chicken
   • Stir-fries are not in nutrition databases
4. What does the guide say about a precise-looking total such as 612 calories?
   • It proves the app used a food scale
   • It is always within 5 calories
   • It means the app used the USDA database
   • How confident the app looks tells you nothing about how accurate it is
5. Why can two plates of the same size look different in a single photo?
   • Cameras change the colors of food
   • A flat image loses depth, so distance from the camera changes apparent size
   • Apps crop every image the same way
   • Plates reflect light differently
6. Why does converting food volume to weight add error?
   • The same volume of food can weigh different amounts, like packed versus fluffy rice
   • Weight is not used in nutrition databases
   • Apps always round weight to the nearest kilogram
   • Volume cannot be measured at all
7. What self-test does the guide suggest for checking an app's accuracy?
   • Photograph the same meal with the flash on and off
   • Compare two different apps' totals
   • Log a few meals you have weighed and compare them with the app's estimates
   • Ask the app to rate its own confidence
8. Who does the guide say should talk to a doctor or dietitian rather than start with a tracking app?
   • Anyone who eats at restaurants
   • People who cook with oil
   • People with a phone that has no depth sensor
   • People with a history of disordered eating