Update README.md

Author: Koldim2001

patched_yolo_infer/README.md

@@ -4,7 +4,7 @@ This Python library simplifies SAHI-like inference for instance segmentation tas
 
 The library also provides a sleek customization of the visualization of the inference results for all models, both in the standard approach (direct network run) and the unique patch-based variant.
 
-**Model Support**: The library offers support for multiple ultralytics deep learning [models](https://docs.ultralytics.com/models/), such as YOLOv8, YOLOv8-seg, YOLOv9, YOLOv9-seg, YOLOv10, FastSAM, and RTDETR. Users can select from pre-trained options or utilize custom-trained models to best meet their task requirements.
+**Model Support**: The library offers support for multiple ultralytics deep learning [models](https://docs.ultralytics.com/models/), such as YOLOv8, YOLOv8-seg, YOLOv9, YOLOv9-seg, YOLOv10, YOLO11, YOLO11-seg, FastSAM, and RTDETR. Users can select from pre-trained options or utilize custom-trained models to best meet their task requirements.
 
 
 ## Installation
@@ -222,4 +222,4 @@ img = cv2.imread(img_path)
 shape_x, shape_y, overlap_x, overlap_y = auto_calculate_crop_values(
     image=img, mode="network_based", model=YOLO("yolov8m.pt")
 )
-```
+```