方法論
当社のテスト方法論
2026 年ランキングの背後にある完全な方法論。
テスト方法
- 80 reference meals · USDA-anchored.
- 22,400-meal AI photo-accuracy benchmark.
- Dual-reviewer scoring across 8 weighted criteria.
- 487-user adherence panel over 12 weeks across 21 countries.
得意分野
- Accuracy 22%
- AI Features 20%
- Speed 13%
- Nutrients 12%
- Database 10%
- Ease of Use 8%
The Calorie Counter Standard 編集チーム
Computer Vision & ML Engineer
Dr. Priya Aravind
PhD, Computer Vision · MSc, Applied Mathematics
AI Evaluation Lead
Marcus Chen
MSc, Machine Learning
Mobile Engineer & UX Performance Lead
Ana Costa
MSc, Computer Science
HCI Researcher & Adherence Lead
Dr. Liu Wei
PhD, Human-Computer Interaction
Data Engineer
Jordan Pearce
BSc, Software Engineering
Senior Editor & Data Lead
Hugo Lindqvist
MSc, Data Science · BSc, Statistics