Update README.md

README.md

@@ -34,23 +34,12 @@ This YOLO12X model is fine-tuned on a custom dataset consisting of annotated aer
 
 | Metric         | Value    |
 |----------------|----------|
-| mAP@0.5        | 0.XXX    |
-| mAP@0.5:0.95   | 0.XXX    |
-| Precision      | 0.XXX    |
-| Recall         | 0.XXX    |
-| F1-score       | 0.XXX    |
-| box_loss       | 0.XXX    |
-| cls_loss       | 0.XXX    |
-| dfl_loss       | 0.XXX    |
-
-### Per-Class Performance
-
-| Class | Precision | Recall | mAP@0.5 |
-|-------|-----------|--------|---------|
-| UAP   | 0.XXX     | 0.XXX  | 0.XXX   |
-| UAI   | 0.XXX     | 0.XXX  | 0.XXX   |
+| mAP@0.5        | 0.995    |
+| mAP@0.5:0.95   | 0.983    |
+| box_loss       | 0.2368   |
+| cls_loss       | 0.207    |
+| dfl_loss       | 0.8056   |
 
----
 
 ## 🖼️ Sample Predictions
 
@@ -69,6 +58,6 @@ This YOLO12X model is fine-tuned on a custom dataset consisting of annotated aer
 ```python
 from ultralytics import YOLO
 
-model = YOLO("path/to/best.pt")
+model = YOLO("momererkoc/uap-uai-object-detection-yolo12x")
 results = model("path/to/image.jpg")
 results[0].show()  # show prediction