方法论
我们的测试方法论
我们 2026 年排行榜背后的完整方法论。
我们如何测试
- 60 reference meals · USDA-anchored.
- 15,000-meal AI photo-accuracy benchmark.
- Dual-reviewer scoring across 6 weighted criteria.
- 342-user adherence panel over 8 weeks across 14 countries.
擅长
- Accuracy 25%
- AI Features 20%
- Speed 15%
- Nutrients 15%
- Database 15%
- Ease of Use 10%
Calorie Counters Ranked 编辑团队
Computer Vision & ML Engineer
Dr. Priya Aravind
PhD, Computer Vision
AI Evaluation Lead
Marcus Chen
MSc, Machine Learning
Mobile Engineer & Performance Lead
Ana Costa
MSc, Computer Science
HCI Researcher and Adherence Lead
Dr. Liu Wei
PhD, Human-Computer Interaction
Data Engineer
Jordan Pearce
BSc, Software Engineering
Senior Editor and Data Lead
Hugo Lindqvist
MSc, Data Science