| { | |
| "model_type": "ensemble", | |
| "architecture": "deep-svdd + autoencoder", | |
| "task": "deepfake-detection", | |
| "ensemble_method": "averaged_scores", | |
| "models": { | |
| "deep_svdd": { | |
| "repo": "ash12321/deep-svdd-anomaly-detection", | |
| "weight": 0.5, | |
| "method": "hypersphere_distance", | |
| "latent_dim": 512 | |
| }, | |
| "autoencoder": { | |
| "repo": "ash12321/deepfake-autoencoder-cifar10-v2", | |
| "weight": 0.5, | |
| "method": "reconstruction_error", | |
| "latent_dim": 512 | |
| } | |
| }, | |
| "thresholds": { | |
| "optimal": 0.1163, | |
| "conservative": 0.5, | |
| "sensitive": 0.05 | |
| }, | |
| "recommended_threshold": 0.1163, | |
| "performance": { | |
| "accuracy": 0.775, | |
| "precision": 0.7222, | |
| "recall": 0.8875, | |
| "f1": 0.7946, | |
| "model_agreement": 0.53 | |
| }, | |
| "image_size": 128, | |
| "input_channels": 3, | |
| "framework": "pytorch", | |
| "license": "apache-2.0" | |
| } |