In building this webdemo, we use the client server model to quickly deploy the AI model as well as the website hosted on Firebase. On the API server side, Flask Framework is used to provide API on the fly. On the client side, VueJS is used to implement the interface for the demo. Overall, DIS is a fast and easy-to-implement method that can handle complex images with multiple foreground objects and variable backgrounds. However, it is not always the most accurate or reliable method, and it may require manual touch-ups or additional processing to achieve the desired results. In conclusion, DIS can be a useful method for removing backgrounds in certain situations, but it is always a good idea to evaluate and compare different methods such as U2Net, DeepLab to determine the most suitable approach for a given image or video. We hope that this article has provided a comprehensive and practical guide to using DIS for removing backgrounds and that it has helped readers choose the most suitable method for their specific needs and goals.