Image Recognition for Bird Species Identification using Fine Graining

There exist many millions of different species of birds and animals together on this planet. They live in different habitats, exhibit morphological differences, show variance in their physical features which are indistinguishable by the human eye. Hence, due to a plethora of species the identification of different bird and animal species can be done using fine grained image recognition techniques. Fine grained image recognition is widely used to accurately identify visually similar species showing morphological differences using feature extraction and deep learning techniques with classes showing significant inter class variations and minimal intra class variations. Therefore, a comprehensive study encompassing the ecological statistics of biodiversity as well as endangered species can be done.