Project title

A light-weight CNN for Bird species classification

Submitted to:


Submitted By:

  1. Sarvjeet
  2. Shubham Arun Gujar
  3. Panchal Kruti Babubhai
  4. Kommana Madhusri

Project Description

Now a day birds are present in various scenarios appear in different shapes, sizes, colors etc. from human perspective. Human ability to recognize the birds through images is not a tough task but machines can’t. We have used dataset of 200 bird species with training, testing and validation images. By using CNN an image is converted to gray scale format passing through neural networks compared with testing images and generate accuracy, predicts classes.

Project Poster

Get Latest Notification about

Please ignore if you have already signed up.

Announcements, news and innovations!

From in your inbox.

By submitting this form, you are consenting to receive marketing emails from: Bennett University. You can revoke your consent to receive emails at any time by using the SafeUnsubscribe® link, found at the bottom of every email.