Docs improvements and redirect fixes (#16287)

Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

docs/en/tasks/classify.md

@@ -84,7 +84,7 @@ YOLO classification dataset format can be found in detail in the [Dataset Guide]
 
 ## Val
 
-Validate trained YOLOv8n-cls model accuracy on the MNIST160 dataset. No argument need to passed as the `model` retains its training `data` and arguments as model attributes.
+Validate trained YOLOv8n-cls model accuracy on the MNIST160 dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
 
 !!! example
 

docs/en/tasks/detect.md

@@ -83,7 +83,7 @@ YOLO detection dataset format can be found in detail in the [Dataset Guide](../d
 
 ## Val
 
-Validate trained YOLOv8n model accuracy on the COCO8 dataset. No argument need to passed as the `model` retains its training `data` and arguments as model attributes.
+Validate trained YOLOv8n model accuracy on the COCO8 dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
 
 !!! example
 

docs/en/tasks/obb.md

@@ -104,8 +104,7 @@ OBB dataset format can be found in detail in the [Dataset Guide](../datasets/obb
 
 ## Val
 
-Validate trained YOLOv8n-obb model accuracy on the DOTA8 dataset. No argument need to passed as the `model`
-retains its training `data` and arguments as model attributes.
+Validate trained YOLOv8n-obb model accuracy on the DOTA8 dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
 
 !!! example
 

docs/en/tasks/pose.md

@@ -117,8 +117,7 @@ YOLO pose dataset format can be found in detail in the [Dataset Guide](../datase
 
 ## Val
 
-Validate trained YOLOv8n-pose model accuracy on the COCO128-pose dataset. No argument need to passed as the `model`
-retains its training `data` and arguments as model attributes.
+Validate trained YOLOv8n-pose model accuracy on the COCO128-pose dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
 
 !!! example
 

docs/en/tasks/segment.md

@@ -84,8 +84,7 @@ YOLO segmentation dataset format can be found in detail in the [Dataset Guide](.
 
 ## Val
 
-Validate trained YOLOv8n-seg model accuracy on the COCO128-seg dataset. No argument need to passed as the `model`
-retains its training `data` and arguments as model attributes.
+Validate trained YOLOv8n-seg model accuracy on the COCO128-seg dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
 
 !!! example