# Train on human YOLO labels, preserving the existing fixed-tile train/val split.
_base_: film.yaml
work_dir: runs/classify_tiles128_resnet18
data:
  root: data/film_yolo_128
  format: yolo_tiles
  yaml: data/film_yolo_128/data.yaml
  image_size: [128, 128]
  classes: [black, blackdot, grease, mosquito, normal, obstacle, ripple, uneven, wrinkle]
  train_transforms:
    - {name: RandomHorizontalFlip, p: 0.5}
    - {name: RandomVerticalFlip, p: 0.5}
    - {name: ToTensor}
  val_transforms:
    - {name: ToTensor}
train:
  # Strong inverse-frequency weights plus uniform smoothing bias scores toward rare classes.
  label_smoothing: 0.0
  swanlab:
    tags: [classify, resnet18, tiles128]