Record YOLOv8s partial candidate evaluation
This commit is contained in:
@@ -431,5 +431,7 @@ This file now starts with the current implementation status. Older preparation/b
|
||||
- [x] Preserve model/tile provenance in calibration evidence bundle summaries.
|
||||
- [x] Prevent same-threshold calibration evidence responses from overwriting each other in multi-model portfolios.
|
||||
- [x] Add a model promotion decision report that combines positive-AOI score with hard-negative false-positive pressure.
|
||||
- [x] Train and reject a YOLOv8s hard-negative r8 partial candidate after 12 CPU epochs through the full positive/background promotion gate.
|
||||
- [ ] Add more AOIs after the tile-level baseline so the next local model attempt is not limited to Geel/Mol/Turnhout.
|
||||
- [ ] Add negative/background AOIs so the next tile dataset is not all positive tiles.
|
||||
- [ ] Finish or resume a long-running higher-capacity YOLO training pass outside the 1-hour interactive command window, then rerun the same promotion gate.
|
||||
|
||||
Reference in New Issue
Block a user