Abstract:Deep learning has shown visible advantages in the artificial intelligence-based image classification. It usually costs plenty of time on manual information annotation for preparing image datasets. Then this study proposes an online collaborative system for image dataset annotation based on microservice architecture to improve the efficiency of annotating datasets and thus to accelerate the generation and iteration of deep learning models and applications. More users can join for image annotation after the heavy annotation task is divided into smaller ones. Besides, the system performance has been improved by introducing an object storage system and microservice architecture, and the integration efficiency of the system in the development progress has been enhanced by continuous integration and deployment.