yolov8x_voc_obj365.yaml

# Ultralytics YOLO 🚀, GPL-3.0 license

# Parameters
depth_multiple: 1.00  # scales module repeats
width_multiple: 1.25  # scales convolution channels

# YOLOv8.0x 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, [512, 3, 2]]  # 7-P5/32
  - [-1, 3, C2f, [512, True]]
  - [-1, 1, SPPF, [512, 5]]  # 9

# YOLOv8.0x neck
neck:
  - [9, 1, nn.Upsample, [None, 2, 'nearest']] # 1
  - [[-1, 6], 1, Concat, [1]]  # cat backbone P4  # 2
  - [-1, 3, C2f, [512]]  # 12

  - [-1, 1, nn.Upsample, [None, 2, 'nearest']]
  - [[-1, 4], 1, Concat, [1]]  # cat backbone P3
  - [-1, 3, C2f, [256]]  # 15 (P3/8-small)

  - [-1, 1, Conv, [256, 3, 2]]
  - [[-1, 12], 1, Concat, [1]]  # cat head P4
  - [-1, 3, C2f, [512]]  # 18 (P4/16-medium)

  - [-1, 1, Conv, [512, 3, 2]]
  - [[-1, 9], 1, Concat, [1]]  # cat head P5
  - [-1, 3, C2f, [512]]  # 21 (P5/32-large)

# YOLOv8.0x head (the same for all tasks)
head:
  # indices along original yolo numeration
  - [[15, 18, 21], 1, Detect, []]  # Detect(P3, P4, P5)

cerber:
  # indices here are along neck numeration, where 0 is the index of the backbone, 1 is the index of the first neck layer etc.
  # 2 is the number of the layer after which the layers will no longer be shared between tasks
  [[2, [[13], [14]]]]