Learnings from training a font recognition model from scratch
Summary
Eric Lu documents the journey of building a font recognition model from scratch (Lens), covering the problem space, the end-to-end pipeline, and practical lessons learned. The post emphasizes that a model is more than a single file, discusses data collection and input/output design, and shares challenges around cloud training, distribution, and iteration speed. It offers actionable takeaways for developers and SMBs looking to build and deploy AI models efficiently.