models/yolov8n.yaml

# backend/models/yolov8n.yaml
nc: 80  # Number of classes (default for yolov8n, adjust if custom-trained)
depth_multiple: 0.33
width_multiple: 0.50

anchors:
  - [10,13, 16,30, 33,23]
  - [30,61, 62,45, 59,119]
  - [116,90, 156,198, 373,326]

backbone:
  # [from, number, module, args]
  [[-1, 1, Conv, [64, 3, 2]],
   [-1, 1, Conv, [128, 3, 2]],
   [-1, 3, C2f, [128, True]],
   [-1, 1, Conv, [256, 3, 2]],
   [-1, 6, C2f, [256, True]],
   [-1, 1, Conv, [512, 3, 2]],
   [-1, 6, C2f, [512, True]],
   [-1, 1, Conv, [1024, 3, 2]],
   [-1, 3, C2f, [1024, True]],
   [-1, 1, SPPF, [1024, 5]]]

head:
  [[-1, 1, Conv, [512, 1, 1]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 6], 1, Concat, [1]],
   [-1, 3, C2f, [512, False]],
   [-1, 1, Conv, [256, 1, 1]],
   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
   [[-1, 4], 1, Concat, [1]],
   [-1, 3, C2f, [256, False]],
   [-1, 1, Conv, [256, 3, 2]],
   [[-1, 12], 1, Concat, [1]],
   [-1, 3, C2f, [512, False]],
   [-1, 1, Conv, [512, 3, 2]],
   [[-1, 9], 1, Concat, [1]],
   [-1, 3, C2f, [1024, False]],
   [[15, 18, 21], 1, Detect, [nc, anchors]]]