Project Details

Predicting 10 different clothing types [dress, hat, longsleeve, outwear, pants, shirt, shoes, shorts, skirt, t-shirt] using Xception pre-trained model from Keras library by using transfer learning.
Here are the main steps I did to complete this project:

1. Freeze Xception CNN layers and train its dense layers.
2. Hyperparameter tuning: Changed the parameters of the model like (learning rate, number of epochs, size of dense layers..etc.) to achieve better accuracy.
3. Data Augmentation : created multiple images from a single image to generalize the model.
4. Evalutaing the model, achieved 90% accuracy.
5. Deployed the model to Streamlit for everyone to test it.