Birds-Species-Classifications-using-Transfer-Learning

Classify an object from input an image and labelled them is a challenging task in the field of computer vision. Transfer learning help us to classify the object by using pretrained cnn model (Trained on Imagenet dataset). In this project, I wrote a model which can classify Birds species by leveraging pretrained cnn model with extra layer.

This is an open source project. The project is under construction,

Requirements

• Python 3.5
• Install Pytorch 1.0 or later (https://pytorch.org/)
• Install tqdm (pip install tqdm)

The architecture of the model is illustrated by the following

Data

To use your own dataset, you must create a CSV file using the following format:

/path/to/images1, class_number1
/path/to/images1, class_number1
...

• training file name: train_corpus.csv

• validation file name: valid_corpus.csv