From fc527a982503d803c6cae0081963a7835ede2766 Mon Sep 17 00:00:00 2001
From: Glenn Jocher <glenn.jocher@ultralytics.com>
Date: Fri, 21 Jun 2024 22:53:38 +0200
Subject: [PATCH] Update yolov8-p6.yaml with model parameters and GFLOPs
 (#13862)

---
 ultralytics/cfg/models/v8/yolov8-p6.yaml | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/ultralytics/cfg/models/v8/yolov8-p6.yaml b/ultralytics/cfg/models/v8/yolov8-p6.yaml
index 2d6d5f97..6a76612a 100644
--- a/ultralytics/cfg/models/v8/yolov8-p6.yaml
+++ b/ultralytics/cfg/models/v8/yolov8-p6.yaml
@@ -5,11 +5,11 @@
 nc: 80 # number of classes
 scales: # model compound scaling constants, i.e. 'model=yolov8n-p6.yaml' will call yolov8-p6.yaml with scale 'n'
   # [depth, width, max_channels]
-  n: [0.33, 0.25, 1024]
-  s: [0.33, 0.50, 1024]
-  m: [0.67, 0.75, 768]
-  l: [1.00, 1.00, 512]
-  x: [1.00, 1.25, 512]
+  n: [0.33, 0.25, 1024] # YOLOv8n-p6 summary (fused): 220 layers, 4976656 parameters, 42560 gradients, 8.7 GFLOPs
+  s: [0.33, 0.50, 1024] # YOLOv8s-p6 summary (fused): 220 layers, 17897168 parameters, 57920 gradients, 28.5 GFLOPs
+  m: [0.67, 0.75, 768] # YOLOv8m-p6 summary (fused): 285 layers, 44862352 parameters, 78400 gradients, 83.1 GFLOPs
+  l: [1.00, 1.00, 512] # YOLOv8l-p6 summary (fused): 350 layers, 62351440 parameters, 98880 gradients, 167.3 GFLOPs
+  x: [1.00, 1.25, 512] # YOLOv8x-p6 summary (fused): 350 layers, 97382352 parameters, 123456 gradients, 261.1 GFLOPs
 
 # YOLOv8.0x6 backbone
 backbone: