Codatta (@codatta_io): Codatta Dataset Series (3): Food Science

Codatta Dataset Series (3): Food Science Current AI is terrible at understanding global food. ❌ Sure, AI apps let you log a meal with a photo quickly. But throw in complex Asian dishes, the calorie error rate can reach 76%. Even advanced models miss the basic portion sizes and nutritional content. 🍲 We’ve released MM-Food-100K — a specialized open-source multimodal dataset designed to bridge the gap between "seeing" a plate and "understanding" its exact ingredients, portion sizes, cooking methods, and nutritional profile. Sourced from 50,000 real users, it’s the verifiable ground truth for food AI. If AI health agents are going to graduate from basic image taggers to reliable dietary tools, they require the depth and nuance of real human expertise. 🧠 📊 Explore & download the dataset: https://huggingface.co/datasets/Codatta/MM-Food-100K 🤝 Help us build the food science dataset: https://app.codatta.io/app/frontier/7527996594300103455