chore(yolo11): update yolo naming comments

utils/mission_parser.py

@@ -409,7 +409,7 @@ def build_broad_queries(
     # LLM_EXTRACTED path: detect broadly
     if _is_coco_only(detector_key):
         # COCO detectors ignore queries anyway (DETR detects all 80;
-        # YOLOv8 falls back to all if no matches). Send everything.
+        # YOLO11 falls back to all if no matches). Send everything.
         return list(COCO_CLASSES)
 
     # Open-vocab detector (e.g. Grounding DINO):

utils/roofline.py

@@ -15,10 +15,10 @@ logger = logging.getLogger(__name__)
 # These are rough estimates; actual FLOPs depend on input resolution and model variant.
 _MODEL_FLOPS: Dict[str, float] = {
     # Detection models (GFLOPs per frame)
-    "yolo11": 78.9,           # YOLOv8m ~79 GFLOPs at 640px
+    "yolo11": 78.9,           # YOLO11m ~79 GFLOPs at 640px
     "detr_resnet50": 86.0,       # DETR-R50 ~86 GFLOPs at 800px
     "grounding_dino": 172.0,     # Grounding DINO-B ~172 GFLOPs
-    "drone_yolo": 78.9,          # Same arch as YOLOv8m
+    "drone_yolo": 78.9,          # Same arch as YOLO11m-class model
 
     # Segmentation models (GFLOPs per keyframe)
     "GSAM2-S": 48.0,             # SAM2 small encoder