SNAPMe
USDA Agricultural Research Service, via Ag Data Commons
Before trusting an AI system on a farming or food task you need a way to check it. Computer vision models predicting foods, ingredients and nutrients from photographs of meals, snacks and beverages paired with dietary records.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Research & scientific knowledge
ACCESS
Free
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 17, 2026
What it helps with
- How many calories are in this dish
- Identify foods in a meal photo
- Work out ingredients from a picture
- Test a model on food photographs
- Compare nutrient estimates with dietary records
- Food photo benchmark for nutrition models
Scope & audience
WHO IT'S FOR
Scientist / researcher · Developer / AI builder
AREA OF WORK
Research & scientific knowledge
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
Dataset download
DEPLOYMENT
You run it yourself
LANGUAGES
Not stated by provider
Featured media
Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
PROVIDER DOCUMENTATION
Reviewed August 2026
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