Image-Classification

This was my Mini Project-III at Nirma University.

Case study - 1

Binary image classification
Dataset_source.ipynb file creates directories of training, validation and test images
Dataset_utils.ipynb file will be used to initialized X and y of model
model_summary.ipynb is used to plot graph

1. Download dataset
2. Execute Dataset_source.ipynb
3. Then all the models
4. Evaluate model using model_evalution_utils.py

Case study - 2

Fine-grained image classification - Dog breed classification
Download dataset

references: A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning