{
  "model_type": "vgg16",
  "architectures": [
    "VGG"
  ],
  "num_classes": 2,
  "pretraining": "objectbased",
  "pretraining_dataset": "ImageNet",
  "task": "Binary Happy/Sad emotion classification (2AFC)",
  "input_size": [
    3,
    224,
    224
  ],
  "description": "VGG16 pretrained on ImageNet, fine-tuned for binary Happy vs Sad classification. Used as classic benchmark for object-based psychometric testing."
}