Snake Species Identification Using Deep Learning Technique

In order to effectively treat snakebite envenomation, which is a serious worldwide health concern, snake species identification must be done quickly and accurately. A new system uses deep learning methods more precisely, the EfficientNet-B3 model has been proposed for the identification of snake species. Improving the speed and accuracy of species recognition is the goal. The Data augmentation including rotations, flips, and scaling, enhances datasets by exposing the model to diverse conditions, thereby improving its adaptability to various scenarios. The system that is being suggested entails gathering a varied dataset that includes pictures of different kinds of snakes, nearly 135 species has been included. For feature extraction and classification, the EfficientNet-B3 model is used, which is renowned for its exceptional performance in image classification tasks.