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/v8/yolov8-cls-resnet101.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8-cls image classification model with ResNet101 backbone
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/classify
 
 # Parameters
 nc: 1000 # number of classes

ultralytics/cfg/models/v8/yolov8-cls-resnet50.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8-cls image classification model with ResNet50 backbone
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/classify
 
 # Parameters
 nc: 1000 # number of classes

ultralytics/cfg/models/v8/yolov8-cls.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8-cls image classification model with YOLO backbone
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/classify
 
 # Parameters
 nc: 1000 # number of classes

ultralytics/cfg/models/v8/yolov8-ghost-p2.yaml

@@ -1,5 +1,9 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8 object detection model with P2-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8 object detection model with P2/4 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/detect
+# Employs Ghost convolutions and modules proposed in Huawei's GhostNet in https://arxiv.org/abs/1911.11907v2
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8-ghost-p6.yaml

@@ -1,5 +1,9 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8 object detection model with P3-P6 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8 object detection model with P3/8 - P6/64 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/detect
+# Employs Ghost convolutions and modules proposed in Huawei's GhostNet in https://arxiv.org/abs/1911.11907v2
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8-ghost.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8 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 YOLOv8 object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/detect
 # Employs Ghost convolutions and modules proposed in Huawei's GhostNet in https://arxiv.org/abs/1911.11907v2
 
 # Parameters

ultralytics/cfg/models/v8/yolov8-obb.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8 Oriented Bounding Boxes (OBB) 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 YOLOv8-obb Oriented Bounding Boxes (OBB) model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/obb
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8-p2.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8 object detection model with P2-P5 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8 object detection model with P2/4 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8-p6.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8 object detection model with P3-P6 outputs. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8 object detection model with P3/8 - P6/64 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8-pose-p6.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8-pose-p6 keypoints/pose estimation model. For Usage examples see https://docs.ultralytics.com/tasks/pose
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8-pose keypoints/pose estimation model with P3/8 - P6/64 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/pose
 
 # Parameters
 nc: 1 # number of classes

ultralytics/cfg/models/v8/yolov8-pose.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8-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 YOLOv8-pose keypoints/pose estimation model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/pose
 
 # Parameters
 nc: 1 # number of classes

ultralytics/cfg/models/v8/yolov8-rtdetr.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8 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 YOLOv8-RTDETR hybrid object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/rtdetr
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8-seg-p6.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8-seg-p6 instance segmentation model. For Usage examples see https://docs.ultralytics.com/tasks/segment
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8-seg instance segmentation model with P3/8 - P6/64 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/segment
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8-seg.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8-seg instance segmentation model. For Usage examples see https://docs.ultralytics.com/tasks/segment
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8-seg instance segmentation model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/segment
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8-world.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8-World object detection model with P3-P5 outputs. For details see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8-World hybrid object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolo-world
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8-worldv2.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8-World-v2 object detection model with P3-P5 outputs. For details see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv8-Worldv2 hybrid object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolo-world
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v8/yolov8.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv8 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 YOLOv8 object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov8
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes