Description

Bird Species Identification using Deep Learning -Deep learning project- Matlab

In this deep learning project we use the Caltech-UCSD Birds 200 [CUB-200-2011] dataset for training as well as testing purpose. By using deep convolutional neural network (DCNN) algorithm an image is trained uisng deep learning architecture, where the multiple nodes of comparison are generated. These different nodes are compared with the testing dataset and score sheet is obtained from it. After analyzing the score sheet it can predicate the required bird species by using highest score. Experimental analysis on dataset shows that algorithm achieves an accuracy of bird identification between 80% and 90%