Dog Breeds Classifier

Motivation

The purpose of this project is to use a convolutional neural network (CNN) to predict dog breeds. The main object is to evaluate an image then a prediction of which dog breed the dog is, or which dog breed the human most resembles. If the image is detected as neither a dog nor a human, the classifier will not run.

File Descriptions

• dog_app.ipynb is a Jupyter notebook, contains the whole project code to create a dog breed classifier.
• The images folder includes all images used for this project.
• The saved_models folder contains the models saved during this project

Achievements

During the test phase the model achieve the accuracy: 82.1770%

Model

Model Accuracy

Model Loss

Results

To check the results I have used:

3 Images from Humans

6 Images from Dogs

Required Libraries

• Pandas, NumPy, Scikit-learn, tqdm
• Matplotlib, ImageFile
• Keras, cv2
• Glob library

Acknowledgements

The below links, were very useful for completing the projects,

• https://keras.io