Recently, 3D data generation techniques using neural networks are widely used in a variety of fields. In our study, we propose an efficient interactive annotation system by combining two 3D models: a high-quality 3D scene model generated by 3D Gaussian splatting and a model with surface information such as a mesh model. The system allows users to annotate the 3D space with intuitive operations. This system is expected to promote the effective use of 3D data and information sharing, and to be deployed in a wide range of scenes such as living environments.