SUPER RESOLUTION MASK RCNN BASED TRANSFER DEEP LEARNING APPROACH FOR IDENTIFICATION OF BIRD SPECIES

Spotting the difference between bird species is a challenging task because the minute characteristics cannot be distinguished by the human eye. This identification problem is an example of fine grained classification task. The algorithm in such cases should be strong enough to identify small differences .However; there can be multiple problems such as orientation of bird, background colours, brightness and intensity of image which makes it difficult to correctly classify an image. The proposed paper presents a novel approach towards identification of species by increasing the resolution of image and applying Mask RCNN and custom net for classification. SRCNN with Mask RCNN and Inception V3 achieves 51.73% precison , 49.68% recall and 53.52 F1 Score.