About this document
Food Image Classification with CNNs by itexperttechnology123 is a document available to read on EtoBox.
This paper presents a method for food classification from images using convolutional neural networks (CNNs), achieving an accuracy of 86.97% on the FOOD-101 dataset. The approach addresses the limitations of traditional dietary assessment methods by automating food recognition and calorie estimation through real-time image processing. The proposed system leverages advanced CNN architectures and image preprocessing techniques to enhance classification performance and reduce bias in dietary tracking.
- Author
- itexperttechnology123
- Language
- EN