Abstract:
To understand the behavior of animals, monitoring the population of animals is necessity.
Extinction is a common phenomenon nowadays. So, understanding and ecosystem is a
must to preserve each species. The global climate change is a common issue which
affecting human race. Change in nature directly affects ecosystem, and a gradual change
in bird’s pattern is seen. Monitoring the movement and population of bird gives us any
indication about changes in environment.
We have used convolutional neural network (CNN) model to classify birds with better
accuracy to identify Magpie Robin which is the national bird of Bangladesh. By the use of
Image Rotation and Noise injection, our data is augmented. First we have feed our data
into the CNN model for training. The stochastic gradient descent was used along with mini
batch size 32. Our model has brought an accuracy of 91.44%. By comparing many other
models, our model proved to be effective and productive in classification of bird based on
image processing.
