Published Paper Details:

There are thousands of categories of birds, it is very difficult to identify the birds by human and computer because different variation of birds to control and analysis. We need to identify Birds that weigh over 1.8 pounds (0.816 kg) because these birds strike can cause lots of damage to the aircraft. Bird strikes happen most often during LANDING, APPROACH, INITIAL ASCENT, TAKE OFF. In this research we have used Caltech-UCSD Birds-200-2011 Dataset Caltech-UCSD Birds-200-2011 (CUB-200-2011) is an extended version of the CUB-200 dataset. In this dataset there are 200 bird species categories, in this research project we create handled device (android application). In this handled device we use transfer learning to train this model. We try different model to get better accuracy like VGG16, VGG19, MobileNet, ResNet50 and Inception etc. Index Terms: bird species, Caltech-UCSD Birds-200-2011, Transfer learning, VGG16, VGG19, MobileNet, ResNet, Inception