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Harden detection model asset selection
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2026-07-08 04:03:50 +02:00
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@@ -1292,3 +1292,12 @@ Added:
- Observed dense QA F1 scores up to `0.6380` and safest current threshold behavior around `0.25`.
- Kept the model inactive by default because the `kasterlee_bos` hard-negative sample still produced 10 detections at threshold `0.25`.
- No repository code, API contracts, migrations, product behavior, provider fetching or AI dependency strategy changed in this benchmark pass.
## Sprint 122 Detection model asset activation guardrails (2026-07-08)
- Hardened Detection Lab so local model assets are no longer auto-selected when the backend reports available model files.
- Required an explicit local model asset choice before configured YOLO can be submitted when local assets exist.
- Added local model asset details in the run surface: active runtime env status, SHA-256 preview, file size, path and `will_download_models`.
- Surfaced the current YOLOv8s hard-negative benchmark candidate and recommended starting threshold `0.25` as operator guidance.
- Added regression coverage for the no-auto-select behavior and UI guardrail copy.
- No backend API contracts, migrations, model downloads, provider fetching or model weight mutation behavior changed.