Update YOLOv9 YAMLs (#13756)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

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

@@ -1,11 +1,11 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9c-seg
+# YOLOv9c-seg instance segmentation model. For Usage examples see https://docs.ultralytics.com/models/yolov9
 # 654 layers, 27897120 parameters, 159.4 GFLOPs
 
-# parameters
+# Parameters
 nc: 80 # number of classes
 
-# gelan backbone
+# GELAN backbone
 backbone:
   - [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
   - [-1, 1, Conv, [128, 3, 2]] # 1-P2/4

ultralytics/cfg/models/v9/yolov9c.yaml

@@ -1,11 +1,11 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9c
+# YOLOv9c object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
 # 618 layers, 25590912 parameters, 104.0 GFLOPs
 
-# parameters
+# Parameters
 nc: 80 # number of classes
 
-# gelan backbone
+# GELAN backbone
 backbone:
   - [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
   - [-1, 1, Conv, [128, 3, 2]] # 1-P2/4

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

@@ -1,11 +1,11 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9c-seg
+# YOLOv9e-seg instance segmentation model. For Usage examples see https://docs.ultralytics.com/models/yolov9
 # 1261 layers, 60512800 parameters, 248.4 GFLOPs
 
-# parameters
+# Parameters
 nc: 80 # number of classes
 
-# gelan backbone
+# GELAN backbone
 backbone:
   - [-1, 1, nn.Identity, []]
   - [-1, 1, Conv, [64, 3, 2]] # 1-P1/2
@@ -40,7 +40,7 @@ backbone:
   - [-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]] # 28
   - [-1, 1, SPPELAN, [512, 256]] # 29
 
-# gelan head
+# GELAN head
 head:
   - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 25], 1, Concat, [1]] # cat backbone P4

ultralytics/cfg/models/v9/yolov9e.yaml

@@ -1,11 +1,11 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9e
+# YOLOv9e object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
 # 1225 layers, 58206592 parameters, 193.0 GFLOPs
 
-# parameters
+# Parameters
 nc: 80 # number of classes
 
-# gelan backbone
+# GELAN backbone
 backbone:
   - [-1, 1, nn.Identity, []]
   - [-1, 1, Conv, [64, 3, 2]] # 1-P1/2
@@ -40,7 +40,7 @@ backbone:
   - [-1, 1, RepNCSPELAN4, [1024, 512, 256, 2]] # 28
   - [-1, 1, SPPELAN, [512, 256]] # 29
 
-# gelan head
+# GELAN head
 head:
   - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
   - [[-1, 25], 1, Concat, [1]] # cat backbone P4

ultralytics/cfg/models/v9/yolov9m.yaml

@@ -1,11 +1,11 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9t
+# YOLOv9m object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
 # 603 layers, 20216160 parameters, 77.9 GFLOPs
 
-# parameters
+# Parameters
 nc: 80 # number of classes
 
-# gelan backbone
+# GELAN backbone
 backbone:
   - [-1, 1, Conv, [32, 3, 2]] # 0-P1/2
   - [-1, 1, Conv, [64, 3, 2]] # 1-P2/4

ultralytics/cfg/models/v9/yolov9s.yaml

@@ -1,11 +1,11 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9s
+# YOLOv9s object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
 # 917 layers, 7318368 parameters, 27.6 GFLOPs
 
-# parameters
+# Parameters
 nc: 80 # number of classes
 
-# gelan backbone
+# GELAN backbone
 backbone:
   - [-1, 1, Conv, [32, 3, 2]] # 0-P1/2
   - [-1, 1, Conv, [64, 3, 2]] # 1-P2/4

ultralytics/cfg/models/v9/yolov9t.yaml

@@ -1,11 +1,11 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
-# YOLOv9t
+# YOLOv9t object detection model. For Usage examples see https://docs.ultralytics.com/models/yolov9
 # 917 layers, 2128720 parameters, 8.5 GFLOPs
 
-# parameters
+# Parameters
 nc: 80 # number of classes
 
-# gelan backbone
+# GELAN backbone
 backbone:
   - [-1, 1, Conv, [16, 3, 2]] # 0-P1/2
   - [-1, 1, Conv, [32, 3, 2]] # 1-P2/4