{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/food-image-recognition-by-using-convolutional","title":"Food Image Recognition by Using Convolutional Neural Networks (CNNs)","arxiv_id":"1612.00983","date":"2016-12-03","proceeding":null,"authors":["Yuzhen Lu"],"abstract":"Food image recognition is one of the promising applications of visual object\nrecognition in computer vision. In this study, a small-scale dataset consisting\nof 5822 images of ten categories and a five-layer CNN was constructed to\nrecognize these images. The bag-of-features (BoF) model coupled with support\nvector machine (SVM) was first evaluated for image classification, resulting in\nan overall accuracy of 56%; while the CNN model performed much better with an\noverall accuracy of 74%. Data augmentation techniques based on geometric\ntransformation were applied to increase the size of training images, which\nachieved a significantly improved accuracy of more than 90% while preventing\nthe overfitting issue that occurred to the CNN based on raw training data.\nFurther improvements can be expected by collecting more images and optimizing\nthe network architecture and hyper-parameters.","url_abs":"http://arxiv.org/abs/1612.00983v2","url_pdf":"http://arxiv.org/pdf/1612.00983v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"food-image-recognition-by-using-convolutional","repo_url":"https://github.com/jingweimo/food-image-classification-","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"food-image-recognition-by-using-convolutional","repo_url":"https://github.com/SergioVillarruel/FruitDetector3D","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"food-image-recognition-by-using-convolutional","repo_url":"https://github.com/TetsumichiUmada/food_app","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"object-recognition","task_name":"Object Recognition"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}