| { | |
| "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." | |
| } |