Butterfly & Moths Image Classification 100 species refers to the use of computer algorithms to classify and identify images of butterflies and moths. These algorithms use deep learning models, such as convolutional neural networks, to analyze the features in the images and categorize them into different species. Common deep learning models used for this task include Inception v3, ResNet50, VGG16, and AlexNet, among others. They can accurately identify different types of butterflies and moths, providing a convenient way for researchers or enthusiasts to identify different species.
