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Fine-tune specialist visual classifier with color and quality heads #31

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opened 2026-08-19 01:59:01 +00:00 by timmy · 0 comments
timmy commented 2026-08-19 01:59:01 +00:00
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Parent epic: #4

Outcome

Train the candidate production model only if the reality-check gate is GO or NARROW.

Acceptance criteria

  • Model has stool/not-stool, Type 1–7/unknown, broad-color, and quality outputs.
  • Training is reproducible and no evaluation subject leaks into training.
  • Model card records limitations and prohibited uses.

Dependencies

  • #30 — Train frozen-encoder baseline with stool/not-stool and Type 1–7 heads

Required evidence

  • Test or executable receipt attached to the issue/PR
  • Privacy/safety boundary checked where applicable
  • Clean checkout and relevant full suite pass

Delivery

Open a focused branch and PR with Closes #ISSUE. Do not include real medical images in issue comments or Git history.

Parent epic: #4 ## Outcome Train the candidate production model only if the reality-check gate is GO or NARROW. ## Acceptance criteria - [ ] Model has stool/not-stool, Type 1–7/unknown, broad-color, and quality outputs. - [ ] Training is reproducible and no evaluation subject leaks into training. - [ ] Model card records limitations and prohibited uses. ## Dependencies - #30 — Train frozen-encoder baseline with stool/not-stool and Type 1–7 heads ## Required evidence - Test or executable receipt attached to the issue/PR - Privacy/safety boundary checked where applicable - Clean checkout and relevant full suite pass ## Delivery Open a focused branch and PR with `Closes #ISSUE`. Do not include real medical images in issue comments or Git history.
timmy added this to the M2 — Consented Dataset & Specialist Model milestone 2026-08-19 01:59:01 +00:00
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Reference: stackchain/timmy-talking-turd#31
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