ultralytics 8.0.141 create new SettingsManager (#3790)

docs/datasets/detect/index.md

@@ -51,10 +51,10 @@ Here's how you can use these formats to train your model:
 !!! example ""
 
     === "Python"
-    
+
         ```python
         from ultralytics import YOLO
-        
+
         # Load a model
         model = YOLO('yolov8n.pt')  # load a pretrained model (recommended for training)
 
@@ -62,7 +62,7 @@ Here's how you can use these formats to train your model:
         model.train(data='coco128.yaml', epochs=100, imgsz=640)
         ```
     === "CLI"
-    
+
         ```bash
         # Start training from a pretrained *.pt model
         yolo detect train data=coco128.yaml model=yolov8n.pt epochs=100 imgsz=640
@@ -100,4 +100,4 @@ convert_coco(labels_dir='../coco/annotations/')
 
 This conversion tool can be used to convert the COCO dataset or any dataset in the COCO format to the Ultralytics YOLO format.
 
-Remember to double-check if the dataset you want to use is compatible with your model and follows the necessary format conventions. Properly formatted datasets are crucial for training successful object detection models.
+Remember to double-check if the dataset you want to use is compatible with your model and follows the necessary format conventions. Properly formatted datasets are crucial for training successful object detection models.