Abstract
Since the first witness of a cluster of Asian giant hornet in Canada, the Asian giant hornet, which is also called Vespa mandarinia, has caused serious ecological problems. Therefore, in order to detect Asian giant hornet and collect sighting reports from witnesses, the state of Washington has created a website for people to submit their reports. However, most reported sightings mistake other hornets for the Vespa mandarinia. In order to Identify the image of Vespa mandarinia efficiently, based on convolution neural network, we introduced an improved VGG-16 algorithm to solve the problem. By comparing the results of two experiments, the accuracy of treatment group is better than control group.
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