VR Training System to Help Improve Photography Skills

Abstract

People aspiring to enhance their photography skills face multiple challenges, such as finding subjects and understanding camera-specific parameters. To address this, we present the VR Photo Training System. This system allows users to practice photography in a virtual space and provides feedback on user-taken photos using machine-learning models. These models, trained on datasets from the virtual environment, evaluate the aesthetics, composition, and color of photos. The system also includes a feature offering composition advice, which further aids in skill development. The evaluation and recommendation functions of our system have shown sufficient accuracy, proving its effectiveness for photography training.

Keywords

• virtual reality
• self-training system for photography
• aesthetic assessment
• composition assessment and recommendation
• deep learning