Improve headers and comments in TOML/YAML files (#18698)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

ultralytics/cfg/models/11/yolo11-cls-resnet18.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLO11-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLO11-cls image classification model with ResNet18 backbone
+# Model docs: https://docs.ultralytics.com/models/yolo11
+# Task docs: https://docs.ultralytics.com/tasks/classify
 
 # Parameters
 nc: 10 # number of classes
@@ -11,7 +14,7 @@ scales: # model compound scaling constants, i.e. 'model=yolo11n-cls.yaml' will c
   l: [1.00, 1.00, 1024]
   x: [1.00, 1.25, 1024]
 
-# YOLO11n backbone
+# ResNet18 backbone
 backbone:
   # [from, repeats, module, args]
   - [-1, 1, TorchVision, [512, "resnet18", "DEFAULT", True, 2]] # truncate two layers from the end

ultralytics/cfg/models/11/yolo11-cls.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLO11-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLO11-cls image classification model
+# Model docs: https://docs.ultralytics.com/models/yolo11
+# Task docs: https://docs.ultralytics.com/tasks/classify
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/11/yolo11-obb.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLO11 Oriented Bounding Boxes (OBB) model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/obb
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLO11-obb Oriented Bounding Boxes (OBB) model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolo11
+# Task docs: https://docs.ultralytics.com/tasks/obb
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/11/yolo11-pose.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLO11-pose keypoints/pose estimation model. For Usage examples see https://docs.ultralytics.com/tasks/pose
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLO11-pose keypoints/pose estimation model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolo11
+# Task docs: https://docs.ultralytics.com/tasks/pose
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/11/yolo11-seg.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLO11-seg instance segmentation model. For Usage examples see https://docs.ultralytics.com/tasks/segment
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLO11-seg instance segmentation model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolo11
+# Task docs: https://docs.ultralytics.com/tasks/segment
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/11/yolo11.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLO11 object detection model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLO11 object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolo11
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes