Update model card

README.md

@@ -47,6 +47,9 @@ model-index:
           - type: F1@100
             value: 21.11
             name: F1@100
+          - type: e2e_latency_ms
+            value: 20.5
+            name: e2e_latency_ms
   - name: REACT++ yolo26m
     results:
       - task:
@@ -83,6 +86,9 @@ model-index:
           - type: F1@100
             value: 23.77
             name: F1@100
+          - type: e2e_latency_ms
+            value: 19.8
+            name: e2e_latency_ms
   - name: REACT++ yolov8m
     results:
       - task:
@@ -119,6 +125,9 @@ model-index:
           - type: F1@100
             value: 23.94
             name: F1@100
+          - type: e2e_latency_ms
+            value: 18.7
+            name: e2e_latency_ms
 ---
 
 # REACT++ Scene Graph Generation — VG150 (yolo12m, yolo26m, yolov8m)
@@ -146,11 +155,11 @@ The models were trained with the
 
 > Metrics from end-to-end evaluation (`tools/evaluate.py`). Latency = model forward only.
 
-| Backbone | Params | R@20 | R@50 | R@100 | mR@20 | mR@50 | mR@100 | F1@20 | F1@50 | F1@100 | Lat. (ms) |
-|----------|:------:|-----:|-----:|------:|------:|------:|-------:|------:|------:|-------:|--------------:|
-| yolo12m | ~20.2M | 18.76 | 24.63 | 28.47 | 10.81 | 14.42 | 16.78 | 13.72 | 18.19 | 21.11 | - |
-| yolo26m | ~20.2M | 21.12 | 28.34 | 33.7 | 10.81 | 14.6 | 18.36 | 14.3 | 19.27 | 23.77 | - |
-| yolov8m | ~25.9M | 22.89 | 29.96 | 34.09 | 12.22 | 16.31 | 18.45 | 15.93 | 21.12 | 23.94 | - |
+| Backbone | R@20 | R@50 | R@100 | mR@20 | mR@50 | mR@100 | F1@20 | F1@50 | F1@100 | Lat. (ms) |
+|----------|-----:|-----:|------:|------:|------:|-------:|------:|------:|-------:|--------------:|
+| yolo12m | 18.76 | 24.63 | 28.47 | 10.81 | 14.42 | 16.78 | 13.72 | 18.19 | 21.11 | 20.5 |
+| yolo26m | 21.12 | 28.34 | 33.7 | 10.81 | 14.6 | 18.36 | 14.3 | 19.27 | 23.77 | 19.8 |
+| yolov8m | 22.89 | 29.96 | 34.09 | 12.22 | 16.31 | 18.45 | 15.93 | 21.12 | 23.94 | 18.7 |
 
 ---