Docs Colab, OBB and typos fixes (#10366)

Co-authored-by: Olivier Louvignes <olivier@mg-crea.com>
Co-authored-by: RainRat <rainrat78@yahoo.ca>

docs/en/tasks/classify.md

@@ -83,7 +83,7 @@ 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 it's training `data` and arguments as model attributes.
+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.
 
 !!! Example
 

docs/en/tasks/obb.md

@@ -103,7 +103,7 @@ 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 it's training `data` and arguments as model attributes.
+retains its training `data` and arguments as model attributes.
 
 !!! Example
 

docs/en/tasks/pose.md

@@ -97,7 +97,7 @@ 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 it's training `data` and arguments as model attributes.
+retains its training `data` and arguments as model attributes.
 
 !!! Example
 

docs/en/tasks/segment.md

@@ -83,7 +83,7 @@ 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 it's training `data` and arguments as model attributes.
+retains its training `data` and arguments as model attributes.
 
 !!! Example