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

# 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
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] # 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:
  # [from, repeats, module, args]
  - [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
  - [-1, 1, Conv, [128, 3, 2]] # 1-P2/4
  - [-1, 3, C2f, [128, True]]
  - [-1, 1, Conv, [256, 3, 2]] # 3-P3/8
  - [-1, 6, C2f, [256, True]]
  - [-1, 1, Conv, [512, 3, 2]] # 5-P4/16
  - [-1, 6, C2f, [512, True]]
  - [-1, 1, Conv, [768, 3, 2]] # 7-P5/32
  - [-1, 3, C2f, [768, True]]
  - [-1, 1, Conv, [1024, 3, 2]] # 9-P6/64
  - [-1, 3, C2f, [1024, True]]
  - [-1, 1, SPPF, [1024, 5]] # 11

# YOLOv8.0x6 head
head:
  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
  - [[-1, 8], 1, Concat, [1]] # cat backbone P5
  - [-1, 3, C2, [768, False]] # 14

  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
  - [[-1, 6], 1, Concat, [1]] # cat backbone P4
  - [-1, 3, C2, [512, False]] # 17

  - [-1, 1, nn.Upsample, [None, 2, "nearest"]]
  - [[-1, 4], 1, Concat, [1]] # cat backbone P3
  - [-1, 3, C2, [256, False]] # 20 (P3/8-small)

  - [-1, 1, Conv, [256, 3, 2]]
  - [[-1, 17], 1, Concat, [1]] # cat head P4
  - [-1, 3, C2, [512, False]] # 23 (P4/16-medium)

  - [-1, 1, Conv, [512, 3, 2]]
  - [[-1, 14], 1, Concat, [1]] # cat head P5
  - [-1, 3, C2, [768, False]] # 26 (P5/32-large)

  - [-1, 1, Conv, [768, 3, 2]]
  - [[-1, 11], 1, Concat, [1]] # cat head P6
  - [-1, 3, C2, [1024, False]] # 29 (P6/64-xlarge)

  - [[20, 23, 26, 29], 1, Detect, [nc]] # Detect(P3, P4, P5, P6)