readme: ---
  library_name: keras
  tags:
  - image-segmentation
  ---
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
   ## Training Metrics
  
  | Epochs | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy |
   |--- |--- |--- |--- |--- |
  | 1| 1.189|  0.639|  2.374|  0.596| 
  | 2| 0.954|  0.697|  1.89|  0.59| 
  | 3| 0.84|  0.732|  1.3|  0.651| 
  | 4| 0.77|  0.753|  1.014|  0.677| 
  | 5| 0.704|  0.773|  1.053|  0.668| 
   ## Model Plot
  
  <details>
  <summary>View Model Plot</summary>
  
  ![Model Image](./model.png)
  
  </details>