ddr/convnext_tiny/config.json

{
  "model_type": "DRGradingModel",
  "task": "diabetic-retinopathy-grading",
  "architecture": "convnext_tiny",
  "backbone_timm_name": "convnext_tiny",
  "in_channels": 3,
  "image_size": 384,
  "num_classes": 5,
  "ordinal_head": "CORN",
  "num_thresholds": 4,
  "use_cbam": true,
  "cbam_num_stages": 2,
  "head_hidden_dim": 512,
  "dropout": 0.4,
  "channels_last": true,
  "ema_decay": 0.999,
  "loss_type": "corn",
  "use_class_weighting": true,
  "use_mixup": true,
  "primary_weights": "lodo_ddr_convnext_tiny_best_ema.safetensors",
  "secondary_weights": "lodo_ddr_convnext_tiny_best.safetensors",
  "normalization": {
    "rgb": {
      "mean": [
        0.485,
        0.456,
        0.406
      ],
      "std": [
        0.229,
        0.224,
        0.225
      ]
    },
    "extra_channel": "Already in [0,1]; appended after RGB normalization; not ImageNet-normalized."
  },
  "class_names": [
    "No DR",
    "Mild",
    "Moderate",
    "Severe",
    "Proliferative DR"
  ],
  "held_out_fold": "ddr"
}