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https://dspace.ctu.edu.vn/jspui/handle/123456789/109469
Title: | COOKING RECIPE GENERATION USING YOLOV11 AND T5V1.1 |
Other Titles: | NGHIÊN CỨU MÔ HÌNH SINH CÔNG THỨC NẤU ĂN TỪ HÌNH ẢNH SỬ DỤNG YOLOV11 VÀ T5V1.1 |
Authors: | Lâm, Nhựt Khang Huỳnh, Phi Hồng |
Keywords: | CÔNG NGHỆ THÔNG TIN - CHẤT LƯỢNG CAO |
Issue Date: | 2024 |
Publisher: | Trường Đại Học Cần Thơ |
Abstract: | Eating is an essential aspect of human life, yet deciding what dish to prepare based on available ingredients can be a hassle. This paper presents an approach to automated recipe generation by integrating a multimodal system consists of an ingredient detection model based on YOLOv11 [1] with a recipe generation model utilizing T5v1.1 [2]. The system processes an input image of available ingredients to generate a recipe derived from the detected components. We trained the YOLOv11 model on the AICook [3] dataset, enabling it to accurately detect and recognize ingredients from images. For recipe generation, we fine-tuned the T5v1.1 base model on a modified version of the RecipeNLG [4] dataset, which consists of approximately 2 million recipes. The proposed system achieved a mean average precision (mAP) of 0.971 at IoU@50 for ingredient detection and BLEU scores of 0.667, 0.408, 0.302, and 0.24 for BLEU-1, BLEU-2, BLEU-3, and BLEU-4, respectively, in recipe generation. These results demonstrate the system's potential to simplify meal preparation by automating the recipe generation process. |
Description: | 45 Tr |
URI: | https://dspace.ctu.edu.vn/jspui/handle/123456789/109469 |
Appears in Collections: | Trường Công nghệ Thông tin & Truyền thông |
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