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Bird Species Classification Web App

README.md

PROJECT TITLE : BIRDS SPECIES CLASSIFICATION

AIM

To classify the different species of bird

DESCRIPTION

This is a classification problem where we need to classify the different species of birds. We use Xception Transfer Learning Model.

LINK TO WEBAPP:

https://share.streamlit.io/shreya024/bird-species-classification-web-app/app.py

GLANCE AT THE WEBAPP

bird1

bird2

MODELS USED

Xception Transfer Learning Model - 94.9 % accuracy

LINK TO .H5 FILE:

https://drive.google.com/file/d/1MXPAFeg029S82cZywaRyRvY9twYq0pNF/view?usp=sharing

DEPLOYMENT

StreamLit-Share = Streamlit turns data scripts into shareable web apps in minutes. All in Python. No front‑end experience required. Streamlit’s open-source app framework is a breeze to get started with. It is very easy to use. One just have to connect with the github repo and start deploying it on streamlit share and you are good to go.

LIBRARIES NEEDED

  1. Numpy
  2. Tensorflow
  3. Keras
  4. Xception
  5. Glob
  6. StreamLit

CONCLUSION

We can conclude that our Web App classifies bird species with the help of Xception Tranfer Learning library.

CONTRIBUTED BY

Shreya Ghosh