Update README.md

README.md

@@ -56,7 +56,7 @@ YOLOv12 surpasses all popular real-time object detectors in accuracy with compet
 ## Main Results
 
 **Turbo (default version)**:
-| Model                                                                                | size<br><sup>(pixels) | mAP<sup>val<br>50-95 | Speed<br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(G) |
+| Model (det)                                                                              | size<br><sup>(pixels) | mAP<sup>val<br>50-95 | Speed<br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(G) |
 | :----------------------------------------------------------------------------------- | :-------------------: | :-------------------:| :------------------------------:| :-----------------:| :---------------:|
 | [YOLO12n](https://github.com/sunsmarterjie/yolov12/releases/download/turbo/yolov12n.pt) | 640                   | 40.4                 | 1.60                            | 2.5                | 6.0               |
 | [YOLO12s](https://github.com/sunsmarterjie/yolov12/releases/download/turbo/yolov12s.pt) | 640                   | 47.6                 | 2.42                            | 9.1                | 19.4              |
@@ -65,7 +65,7 @@ YOLOv12 surpasses all popular real-time object detectors in accuracy with compet
 | [YOLO12x](https://github.com/sunsmarterjie/yolov12/releases/download/turbo/yolov12x.pt) | 640                   | 55.4                 | 10.38                           | 59.3               | 184.6             |
 
 [**v1.0**](https://github.com/sunsmarterjie/yolov12/tree/V1.0):
-| Model                                                                                | size<br><sup>(pixels) | mAP<sup>val<br>50-95 | Speed<br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(G) |
+| Model (det)                                                                               | size<br><sup>(pixels) | mAP<sup>val<br>50-95 | Speed<br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(G) |
 | :----------------------------------------------------------------------------------- | :-------------------: | :-------------------:| :------------------------------:| :-----------------:| :---------------:|
 | [YOLO12n](https://github.com/sunsmarterjie/yolov12/releases/download/v1.0/yolov12n.pt) | 640                   | 40.6                 | 1.64                            | 2.6                | 6.5               |
 | [YOLO12s](https://github.com/sunsmarterjie/yolov12/releases/download/v1.0/yolov12s.pt) | 640                   | 48.0                 | 2.61                            | 9.3                | 21.4              |
@@ -74,7 +74,7 @@ YOLOv12 surpasses all popular real-time object detectors in accuracy with compet
 | [YOLO12x](https://github.com/sunsmarterjie/yolov12/releases/download/v1.0/yolov12x.pt) | 640                   | 55.2                 | 11.79                           | 59.1               | 199.0             |
 
 [**Instance segmentation**](https://github.com/sunsmarterjie/yolov12/tree/Seg):
-| Model                                                                               | size<br><sup>(pixels) | mAP<sup>box<br>50-95 | mAP<sup>mask<br>50-95 | Speed<br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(B) |
+| Model (seg)                                                                              | size<br><sup>(pixels) | mAP<sup>box<br>50-95 | mAP<sup>mask<br>50-95 | Speed<br><sup>T4 TensorRT10<br> | params<br><sup>(M) | FLOPs<br><sup>(B) |
 | :------------------------------------------------------------------------------------| :--------------------: | :-------------------: | :---------------------: | :--------------------------------:| :------------------: | :-----------------: |
 | [YOLOv12n-seg](https://github.com/sunsmarterjie/yolov12/releases/download/seg/yolov12n-seg.pt) | 640                   | 39.9                 | 32.8                  | 1.84                           | 2.8                | 9.9              |
 | [YOLOv12s-seg](https://github.com/sunsmarterjie/yolov12/releases/download/seg/yolov12s-seg.pt) | 640                   | 47.5                 | 38.6                  | 2.84                           | 9.8                | 33.4              |