Open Internet by MindsNet

Scalable Annotation for High-Stakes Computer Vision

The author has a large dataset of stool images and seeks best practices for scalable annotation and iterative training without compromising quality. Current manual verification and correction processes are inefficient and may introduce bad labels. The author questions the optimal approach for building a solid vision dataset/model in a domain where annotation quality is crucial.

Computing & Technology, Computer Science, Machine Learning