A reproducible benchmarking suite for evaluating food-image recognition models and APIs. It provides standardized datasets and metrics to compare the accuracy and performance of computer vision models.
Tech Stack
PythonAI, ML & Data
Why foodvision-bench?
• Standardized metrics
• Reproducible results
• API-agnostic testing
Limitations
• Niche focus (food only)
• Requires dataset management
• High compute requirements
4/17/2026
Last Update
4
Forks
7
Issues
MIT
License
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