VIPER-FoodNet (VFN)
Purdue University
Dietary studies and food logging apps need images where each food item is located, not just named. This is a food photograph dataset with 82 categories and at least one marked region per picture.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Datasets & corpora
AREA OF WORK
Food products & foodservice
ACCESS
Free
DEPLOYMENT
Self-hosted / on-premise · Downloadable
SOURCE REVIEWED
August 23, 2026
What it helps with
- Log what i ate from a photo
- Locate each food item in a meal picture
- Food photos with marked regions
- Build a diet tracking app
- Train a food detection model for diet studies
- Labelled food images across many categories
Scope & audience
WHO IT'S FOR
Scientist / researcher · Developer / AI builder
AREA OF WORK
Food products & foodservice
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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