Calorie Estimation

Calorie estimation research aims to accurately determine energy expenditure during physical activity or consumed through food, leveraging advancements in computer vision and machine learning. Current efforts focus on improving the accuracy of calorie prediction from images (using deep learning models like encoder-decoder frameworks and transformers) and video data, often incorporating techniques like 3D shape reconstruction and saliency maps to enhance performance. These advancements hold significant potential for personalized health monitoring, dietary assessment, and optimizing training regimens in sports, offering more precise and convenient tools than traditional methods.