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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
Pixel To Plate: Generating Recipes From Food Images Using CNN
Authors
Haleema Begum,Asst.Prof.Akkanagamma
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Keywords
Food Image Analysis, Recipe Generation, Convolutional Neural Networks (CNNs), Visual Context, Deep Learning, Ingredient Recognition, Cooking Instructions, Automated Recipe Recommendation.
Abstract
The ubiquity of food images on social media and recipe-sharing platforms has created an opportunity for automating the generation of cooking recipes from visual cues. In this study, we propose a novel method for generating recipes from food images by harnessing Convolutional Neural Networks (CNNs). Our approach leverages the power of deep learning to analyze the visual features of food images and extract key ingredients and cooking instructions.We begin by collecting a diverse dataset of food images paired with corresponding recipes. We then design a CNN architecture tailored for this task, enabling it to recognize ingredients, cooking utensils, and cooking techniques from the images. The model's ability to understand the visual context of the ingredients is enhanced by incorporating attention mechanisms.Experimental results demonstrate the effectiveness of our method, with the generated recipes achieving high fidelity to the input images. We conduct thorough evaluations, including recipe quality assessments and user studies, to validate the practical utility of our approach.Our work paves the way for innovative applications in the culinary domain, such as automated recipe recommendation systems, real-time cooking assistance, and content generation for food-related platforms. We believe that our novel method for generating recipes from food images using CNNs represents a significant step forward in the convergence of computer vision and culinary arts.
IJCRT's Publication Details
Unique Identification Number - IJCRT2310023
Paper ID - 244644
Author type - Indian Author
Page Number(s) - a171-a177
Pubished in - Volume 11 | Issue 10 | October 2023
DOI (Digital Object Identifier) -
No Of Downloads - 119
Author Country - India, 585103, gulbarga, gulbarga, 585103, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Haleema Begum,Asst.Prof.Akkanagamma, "Pixel To Plate: Generating Recipes From Food Images Using CNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 10, pp.a171-a177, October 2023, Available at :http://www.ijcrt.org/papers/IJCRT2310023.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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