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What is Food Image Segmentation for Diet Monitoring about?

The project aims to develop an AI model using CNNs and Vision Transformers for automated food image segmentation to enhance dietary monitoring and calorie estimation, addressing the challenges of manual food logging. Utilizing the Foodseg-103 dataset, the model employs advanced techniques like data augmentation and DeepLabV3 architecture to achieve high accuracy in segmenting food items. The final model demonstrated strong performance with a Dice Score of 0.9005 and mIoU of 0.6271, with plans for future imp

Author

SharvendraKarna

Language

EN