# 1. Create database
    - 6 scenes for train
    - 3 scenes for validation
    - Equilibrer noise / final classes

# 2. Test CNN (check if size is correct)

# 3. Results
    - noise_classification_img100.h5 :: loss: 0.1551 - acc: 0.9393 - val_loss: 1.2858 - val_acc: 0.7845