  Insects are abundant species on the earth, and the task of identification and
identification of insects is complex and arduous. How to apply artificial
intelligence technology and digital image processing methods to automatic
identification of insect species is a hot issue in current research. In this
paper, the problem of automatic detection and classification recognition of
butterfly photographs is studied, and a method of bio-labeling suitable for
butterfly classification is proposed. On the basis of YOLO algorithm, by
synthesizing the results of YOLO models with different training mechanisms, a
butterfly automatic detection and classification recognition algorithm based on
YOLO algorithm is proposed. It greatly improves the generalization ability of
YOLO algorithm and makes it have better ability to solve small sample problems.
The experimental results show that the proposed annotation method and
integrated YOLO algorithm have high accuracy and recognition rate in butterfly
automatic detection and recognition.
