{
  "model_type": "alexnet",
  "architectures": [
    "AlexNet"
  ],
  "num_classes": 11,
  "pretraining": "facebased",
  "pretraining_dataset": "VGGFace2",
  "task": "AffectNet 11-way emotion classification",
  "input_size": [
    3,
    224,
    224
  ],
  "description": "Standard AlexNet pretrained on VGGFace2, fine-tuned on AffectNet (11 emotions). Used as baseline for face-based feature extraction comparison."
}