SourceReddit r/MachineLearning•Stalecollected in 7h
150k Stool Images: Scaling CV Annotation Best Practices
Best practices for scaling 150k medical image annotations revealed
30-Second TL;DR
What Changed
150k+ stool images dataset available
Why It Matters
Highlights challenges in building reliable medical CV datasets, influencing annotation pipelines for healthcare AI. Could inspire semi-automated tools to accelerate model training.
What To Do Next
Adopt active learning with your stool dataset to prioritize human review of uncertain predictions.
Who should care:Developers & AI Engineers
Key Points
- •150k+ stool images dataset available
- •Manual annotation of Bristol type, color, mucus/blood
- •Iterative training with human-reviewed corrections
- •Seeks scalable methods beyond manual verification
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Original source: Reddit r/MachineLearning ↗
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