| { |
| "architecture": "FrequencyAwareDetector", |
| "backbone_name": "microsoft/swinv2-tiny-patch4-window8-256", |
| "num_labels": 2, |
| "dct_patch_size": 32, |
| "num_freq_bands": 8, |
| "fft_bins": 32, |
| "image_size": 256, |
| "id2label": { |
| "0": "real", |
| "1": "ai_generated" |
| }, |
| "label2id": { |
| "real": 0, |
| "ai_generated": 1 |
| }, |
| "srm_filters": 30, |
| "srm_description": "Spatial Rich Model high-pass filter bank (Fridrich & Kodovsky, 2012)", |
| "dct_description": "2D Discrete Cosine Transform patch-wise frequency band analysis", |
| "fft_description": "Azimuthally averaged FFT power spectrum with 1/f deviation analysis", |
| "backbone_description": "SwinV2-Tiny pretrained on ImageNet for semantic feature extraction", |
| "training_dataset": "OwensLab/CommunityForensics-Small", |
| "training_dataset_size": 556000, |
| "num_generators": 4803, |
| "total_params": 28604140, |
| "social_media_augmentation": { |
| "jpeg_compression": {"probability": 0.10, "quality_range": [30, 95]}, |
| "gaussian_blur": {"probability": 0.10, "sigma_range": [0.1, 2.0]}, |
| "downscale_upscale": {"probability": 0.05, "scale_range": [0.5, 0.9]} |
| } |
| } |
|
|
