150k Stool Images: Scaling CV Annotation Best Practices
A user shares a 150k+ stool images dataset for training computer vision models, detailing a manual verification process for annotations like Bristol type, consistency, and blood indicators. They train iteratively on verified data and seek advice on scalable workflows. The post asks for ML best practices in high-stakes annotation domains.