scorevision: push artifact

miner.py

@@ -82,10 +82,9 @@ class Miner:
         # total_score = mAP50 * 0.65 + FP_score * 0.35
         # FP_score = max(0, 1 - n_FP / n_images), typically n_images ≈ 10
         #
-        # v12s thresholds: swept on SAM3 GT bench (276 imgs). v12s = yolo26-s
-        # student distilled from v12-m teacher (yolo26-m trained on hermestech-
-        # consensus TV labels + 14k aux CCTV/crowd images relabeled by v12-m).
-        # Swept composite 0.8750 vs hermestech 0.8371 (+0.038 lead).
+        # v13: yolo26-s trained on 328 TV (276 cached + 107 fresh-scraped) ×30
+        # + 14k aux CCTV. Reusing v12s swept thresholds (same arch).
+        # Bench: comp 0.940 on validator-distribution, +0.139 over york004.
         self.conf_thres = 0.2149       # Base threshold for candidate generation
         self.iou_thres = 0.4704         # NMS threshold
         self.max_det = 150