model:
  name: NOAA_AFSC_MML_Iceseals_31K
  architecture: YOLOv11n
  nc: 8  # Number of classes
  img_size: 1024
  batch_size: 113
  optimizer: SGD
  lr: 0.01
  momentum: 0.9
  epochs: 64

dataset:
  train: "path/to/train"
  val: "path/to/val"
  test: "path/to/test"
  classes:
    - bearded_pup
    - bearded_seal
    - ribbon_pup
    - ribbon_seal
    - ringed_pup
    - ringed_seal
    - spotted_pup
    - spotted_seal

augmentations:
  - Blur: {p: 0.01, blur_limit: [3, 7]}
  - MedianBlur: {p: 0.01, blur_limit: [3, 7]}
  - ToGray: {p: 0.01, num_output_channels: 3, method: "weighted_average"}
  - CLAHE: {p: 0.01, clip_limit: [1.0, 4.0], tile_grid_size: [8, 8]}