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

ultralytics/cfg/models/rt-detr/rtdetr-l.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# RT-DETR-l object detection model with P3-P5 outputs. For details see https://docs.ultralytics.com/models/rtdetr
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics RT-DETR-l 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/rt-detr/rtdetr-resnet101.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# RT-DETR-ResNet101 object detection model with P3-P5 outputs.
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics RT-DETR-ResNet101 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/rt-detr/rtdetr-resnet50.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# RT-DETR-ResNet50 object detection model with P3-P5 outputs.
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics RT-DETR-ResNet50 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/rt-detr/rtdetr-x.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# RT-DETR-x object detection model with P3-P5 outputs. For details see https://docs.ultralytics.com/models/rtdetr
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics RT-DETR-x 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/v10/yolov10b.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv10 object detection model. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv10b object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov10
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v10/yolov10l.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv10 object detection model. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv10l object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov10
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v10/yolov10m.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv10 object detection model. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv10m object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov10
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v10/yolov10n.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv10 object detection model. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv10n object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov10
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v10/yolov10s.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv10 object detection model. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv10s object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov10
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v10/yolov10x.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv10 object detection model. For Usage examples see https://docs.ultralytics.com/tasks/detect
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv10x object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov10
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v3/yolov3-spp.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv3-SPP object detection model with P3-P5 outputs. For details see https://docs.ultralytics.com/models/yolov3
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv3-SPP object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov3
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v3/yolov3-tiny.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv3-tiny object detection model with P4-P5 outputs. For details see https://docs.ultralytics.com/models/yolov3
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv3-tiiny object detection model with P4/16 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov3
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v3/yolov3.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv3 object detection model with P3-P5 outputs. For details see https://docs.ultralytics.com/models/yolov3
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv3 object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov3
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v5/yolov5-p6.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv5 object detection model with P3-P6 outputs. For details see https://docs.ultralytics.com/models/yolov5
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv5 object detection model with P3/8 - P6/64 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov5
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v5/yolov5.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv5 object detection model with P3-P5 outputs. For details see https://docs.ultralytics.com/models/yolov5
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Ultralytics YOLOv5 object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov5
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

ultralytics/cfg/models/v6/yolov6.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv6 object detection model with P3-P5 outputs. For Usage examples see https://docs.ultralytics.com/models/yolov6
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Meituan YOLOv6 object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov6
+# Task docs: https://docs.ultralytics.com/tasks/detect
 
 # Parameters
 nc: 80 # number of classes

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

ultralytics/cfg/models/v9/yolov9c-seg.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9c-seg instance segmentation model. For Usage examples see https://docs.ultralytics.com/models/yolov9
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv9c-seg instance segmentation model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov9
+# Task docs: https://docs.ultralytics.com/tasks/segment
 # 654 layers, 27897120 parameters, 159.4 GFLOPs
 
 # Parameters

ultralytics/cfg/models/v9/yolov9c.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9c object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv9c object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov9
+# Task docs: https://docs.ultralytics.com/tasks/detect
 # 618 layers, 25590912 parameters, 104.0 GFLOPs
 
 # Parameters

ultralytics/cfg/models/v9/yolov9e-seg.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9e-seg instance segmentation model. For Usage examples see https://docs.ultralytics.com/models/yolov9
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv9e-seg instance segmentation model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov9
+# Task docs: https://docs.ultralytics.com/tasks/segment
 # 1261 layers, 60512800 parameters, 248.4 GFLOPs
 
 # Parameters

ultralytics/cfg/models/v9/yolov9e.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9e object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv9e object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov9
+# Task docs: https://docs.ultralytics.com/tasks/detect
 # 1225 layers, 58206592 parameters, 193.0 GFLOPs
 
 # Parameters

ultralytics/cfg/models/v9/yolov9m.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9m object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv9m object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov9
+# Task docs: https://docs.ultralytics.com/tasks/detect
 # 603 layers, 20216160 parameters, 77.9 GFLOPs
 
 # Parameters

ultralytics/cfg/models/v9/yolov9s.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9s object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv9s object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov9
+# Task docs: https://docs.ultralytics.com/tasks/detect
 # 917 layers, 7318368 parameters, 27.6 GFLOPs
 
 # Parameters

ultralytics/cfg/models/v9/yolov9t.yaml

@@ -1,5 +1,8 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9t object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# YOLOv9t object detection model with P3/8 - P5/32 outputs
+# Model docs: https://docs.ultralytics.com/models/yolov9
+# Task docs: https://docs.ultralytics.com/tasks/detect
 # 917 layers, 2128720 parameters, 8.5 GFLOPs
 
 # Parameters