Gate filtered YOLO candidate and harden provenance

2026-07-12 23:03:55 +02:00
parent c9b22f8f8b
commit 8daaa071b0
10 changed files with 112 additions and 7 deletions
@@ -337,7 +337,9 @@ docker exec \

 The training wrapper is intentionally outside the product UI. It runs
 Ultralytics from the existing runtime, copies the best trained artifact to
-`TRAIN_MODEL_OUTPUT_PATH` and writes `training_summary.json`. Afterward, treat
+`TRAIN_MODEL_OUTPUT_PATH` and writes `training_summary.json`. The summary records
+SHA256 provenance for `dataset.yaml`, the available YOLO dataset summary, the
+local base model and the copied trained model. Afterward, treat
 the resulting `.pt` file like any other local model asset: verify preflight,
 run the real-data matrix and compare persisted QA/QC metrics before activating
 it as a useful default.