metadata
library_name: keras
datasets:
- competitions/aiornot
metrics:
- accuracy
Model description
A model that detects AI generated iamge
Intended uses & limitations
Intended for use cases whenever real images are needed and not AI generated ones. This model however cannot distinguish an AI generated movie whenever it has a close resemblance with a real image.
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
|---|---|
| name | Adam |
| weight_decay | None |
| clipnorm | None |
| global_clipnorm | None |
| clipvalue | None |
| use_ema | False |
| ema_momentum | 0.99 |
| ema_overwrite_frequency | None |
| jit_compile | True |
| is_legacy_optimizer | False |
| learning_rate | 0.0010000000474974513 |
| beta_1 | 0.9 |
| beta_2 | 0.999 |
| epsilon | 1e-07 |
| amsgrad | False |
| training_precision | float32 |
Model Plot
View Model Plot
