Bird Identification by Image Recognition

Abstract

Bird watching is an art of observing, studying and researching on birds. People who pursue bird watching as a hobby or passion can be termed as bird-watchers and others involved in scientific study and research on birds are termed as ornithologists. All ornithologists are bird-watchers but not all bird-watchers are ornithologists. Accurate bird-identification is an important aspect of bird-watching. In India, not many software are available that use input image for identification of a specie, thus making the identification process cumbersome for bird-watchers. To overcome this issue, we came across a solution of building software as a project. The database consisted of 300-400 different images of number of bird species. Concept of transfer learning and pre-trained algorithm made feature extraction possible from an image. The result obtained were of high efficiency as the software could easily identify a bird species from an image whose dataset was present in the database.