Add structured job progress tracking

README.md

@@ -50,6 +50,10 @@ checks YOLO txt labels and mask dimensions, and can generate a `dataset.yaml`
 for the `yolo.train_custom` task. Segmentation previews, YOLO heatmaps, and
 loss/metric artifacts are grouped on the results dashboard, and YOLO-style
 `results.csv` files are parsed into lightweight training curves.
+Job APIs and the SSE log stream also expose structured progress parsed from
+YOLO, MMSeg/MMEngine, SegModel-style epoch logs, and generic tqdm percentages,
+so the queue and live log panel can show stage, epoch/iteration, and percent
+without changing the original training scripts.
 
 The coverage panel calls `GET /api/coverage` and verifies that the user-facing
 scripts from the existing `Seg/` workspace are mapped to web jobs. MMSeg