An image dataset was used to create a simulated CAPTCHA dataset. ResNet50 and ResNet120 models were used for classifying the images without a noticible difference in results between the models. Green marks where they accurately predicted.
Accuracy was calculated by each image classification accuracy, and the model achieved over 95% validation accuracy on the dataset.