Nutrition
Mixed Bowl Photo Macro Estimate
Mixed bowl photo macro estimates need templates or visible-layer edits—layered bowls are the highest-error class for meal image logging.
Mixed bowl photo macro estimate combines burrito bowls, poke, and grain salads where ingredients are layered—highest error class for vision models because volume and density vary by scoop. Build from template bowls you have weighed before, or log dominant ingredients you can see plus a carb or fat buffer.
Chipotle-style bowls need explicit rice and guacamole lines, not one generic bowl.
Common questions
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Should you log a mixed bowl as one item?
Only if you have a weighed template for that exact build. Otherwise split rice, protein, fats, and toppings you can see, then add a small buffer for hidden oil.
Related terms
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