基于阿里云的垃圾图像识别分类系统的设计与实现

Design and Implementation of Garbage Image Recognition and Classification System Based on Alibaba Cloud

近年来,随着国家可持续发展战略的不断推进,垃圾分类处理问题显得尤为重要。为解决目前传统垃圾分类过程中存在的垃圾种类繁多、人工分类效率低等难点问题,设计并实现了一种基于阿里云的垃圾图像识别分类系统。该系统使用方便,识别准确率较高,能有效提高垃圾分类效率,降低了垃圾分类难度,对垃圾分类政策的推广有很好的辅助作用。

In recent years,with the continuous advancement of the national sustainable development strategy,the issue of garbage classification and treatment has become particularly important.In order to solve the difficult problems of various types of garbage and low efficiency of manual classification in the current traditional garbage classification process,a garbage image recognition and classification system based on Alibaba Cloud was designed and implemented.The system is easy to use,has a high recognition accuracy,can effectively improve the efficiency of garbage classification,reduce the difficulty of garbage classification,and has a good auxiliary role in the promotion of garbage classification policies.