Table 2.
Hyperparameters for generative adversarial network generation model.
| Hyperparameters | Values |
|---|---|
| Training Data | 5000-15000 front-view images of each garment type (applied with data augmentation) |
| Batch Size and Image Size | 128 |
| Channel | 3 for colour images |
| Number of training epochs | 50 |
| Generator Layers | 15 |
| Discriminator Layers | 17 |
| Learning rate for optimizer | 0.0002 |
| Optimizer | Adaptive Moment Estimation (Adam) |
| Loss function | Binary Cross Entropy Loss |
| Training and Generation Time | 30–60 min |