AVES SPECIES IDENTIFICATION USING DEEP LEARNING

Although there are many species of aves that are not commonly seen, it is hard to classify them properly due to their unique features. For instance, in one-of-a-kind scenarios, aves can come in different sizes and colors. They also have special features that humans can use to capture their audio attention. In addition, it is very easy for people to identify aves in the pictures. There are around 9500 species of aves in our world, and most of these species are not commonly seen. This means that finding these species is very challenging. With the help of artificial intelligence, we can now easily identify these animals by their unique features. Humans are capable of understanding aves through images more easily than audio recognition. We have used a Deep Convolutional Neural Networks framework to perform this task. DCNNs are a group of machine learning algorithms that have been able to gain a deep knowledge of the subject.