This Repository originated from a Computer Vision Challenge at linkit, where teams of up to 3 persons had a week to submit predicitons of a test-data set with pictures of cats and dogs. The data-set the model is trained on is from kaggle.
We achieved a accurracy of 98.18%
Our Model uses transfer-learning to achieve such high accuracy. We froze all layers, except the last 4 of the InceptionResnetV2. Also we used imagaug a heavy Image Augmentation to make our model more robust.
For more information just take a glimpse on the code.