This the repo for some classification codes.
Duration: 1 weeks
Languages: Python
Top used libraries: Keras, openCV, pandas, numpy.
Models: (1) Stacked CNN, (2) resNet50
Dataset: (1) online sources, (2) mnist dataset.
IDE: VScode, Windows 10, Mac OS, git
Objective: classify the given pictures.
Result: The model can classify the given pictures with simple CNN models.
As we can see the machine can classify the images between wolf and wolfdog.
But there are something still can be improved, if the image is from some other types of wolf, the machine will be confused. This might be improved if we use more various types of wolf and wolfdog images to train the model.
