# Breaking Captchas with Convolutional Neural Networks * This project is a captcha breaker system that utilizes deep learning to achieve its goal. * The model has been trained using LeNet architecture. * An example of a captcha we aim to break is shown below. <br>  # The steps followed to build the model: 1. Download the captcha dataset. 2. Split dataset into training and testing datasets. 3. Labelling images. The `annotate.py` script annotates all of the extract the digits from each image in `downloads` images and hand-label every digit automatically. 4. Training the model. The `train_model.py` script will train LeNet on the labelled digits. 5. Testing and evaluating our model on example images. The `test_model.py` will apply LeNet to captcha images themselves. # Result This model has achieved 100% accuracy. However, the used dataset might be simple. ## Samples <br>  <br>  <br>  <br>  <br>