Comparison of different ML and CNN models to classifiy 13 animals selected from the Google's Quick Draw Dataset Different Pipelines implemented to train different models. Different Scenarious implemented to compare the performance of moedls.
ML, CNN and Transfer Learning(ResNet50) are applied. User input is received via web interface. Then trained models used to label the drawing of the user.
More detailed information can be seen in the project report.