Sunil Kumar
Zoology
December 2021
A significant problem that the researchers are dealing with is the detection and categorization of creatures. Vertebrate creatures are divided into five classes: mammals, amphibians, reptiles, birds, and fish. Each category has tens of thousands of distinct species. In this study, we offer a novel approach to identify and categories two types of vertebrate creatures using deep convolutional neural networks (CNNs) (Mammals and Reptiles). Modern image identification systems use deep convolutional neural networks (CNNs), which are renowned for their great learning capacity, accuracy, and resilience to common object detection difficulties. 6000 photos make up the dataset for this system, comprising 4800 images for training. Utilizing 1200 photos, the suggested method was evaluated. The prediction made by the system for the intended item was 97.5% accurate.
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© Airo Journals 2021
