Maintaining a balanced diet is vital for preventing diseases like diabetes and cancer, but busy lifestyles make tracking food intake difficult. Traditional dietary assessment methods, such as questionnaires, are often labor-intensive and inaccurate. The need for real-time, user-friendly nutrition tools has grown, especially after the COVID-19 pandemic. This paper introduces VietFood67, the biggest Vietnamese food dataset, featuring 33,003 images across 68 classes, including human face detection, built on VietFood57. A fine-tuned YOLOv10 model achieved a mAP50 score of 0.92, showing strong performance on the larger dataset. Additionally, the enhanced FoodDetector website now offers real-time nutritional information for detected dishes. A user study with 35 participants showed high satisfaction and increased nutritional awareness, highlighting the system’s potential to encourage healthier eating habits through efficient, online dietary tracking.