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Your Segmentation Model Isn't Broken, Your Labels Might Be: Measuring Annotation Quality with Python"

This story is from 2026-10-05. It is preserved in the archive; the latest stories are on the live feed.

You trained a segmentation model on a medical imaging dataset. The Dice score plateaus, validation is noisy, and some cases look inexplicably wrong. Before you touch the learning rate, ask a different question: would two trained annotators agree with each other on these labels? If they wouldn't, yo…

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  1. 2026-10-05 13:00 · DEV Community — AI
    Your Segmentation Model Isn't Broken, Your Labels Might Be: Measuring Annotation Quality with Python"

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