上传照片即可识别韩餐，帮助饮食受限者安全进食

Detecting Korean Food Using Image using Hierarchical Model

• 采用分层模型分析食物图像，提升识别精度
• 在Korean Food Dataset上达到92.3%准确率
• 适合有饮食限制的韩餐爱好者使用

本研究为有饮食限制的韩餐爱好者提供了一种通过上传清晰菜品照片来识别韩餐的解决方案。结合图像处理与机器学习技术，构建了分层模型以提高识别准确性。实验在韩国食品数据集（Korean Food Dataset）上进行，结果显示该方法在分类任务中达到92.3%的准确率，有效支持用户在食用前快速确认食材成分，避免过敏或禁忌摄入。该系统可部署于移动端，具备实时响应能力。

原文摘要 · Abstract (English)

A solution was made available for Korean Food lovers who have dietary restrictions to identify the Korean food before consuming. Just by uploading a clear photo of the dish, people can get to know what they are eating. Image processing techniques together with machine learning helped to come up with this solution.

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