Scholarlink

The reason foodies are wonderful is that they adore food. Every dish has a backstory revealed by an intricate recipe; sadly, many people miss this because dish photos frequently contain false information. As a result, we present an inverted cooking system in this paper that can replicate various cooking visuals for lovers. Our unique system uses a sleek new model to predict ingredients, model their expectations without judgment, and then start creating cooking suggestions by focusing on both the image and the ingredients the image evokes. We like to comprehensively evaluate all systems in the vast Recipe1M database and show that we have improved performance compared to last season’s preliminary forecast. We can do good things using images and menus, and our system can create more exciting menus than the access process based on human judgment.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Inverse Cooking: Food Image to Recipe Generation Using Machine Learning

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Jyoti Kukade,
  • Kush Bhushanwar,
  • Vandana Birle,
  • Deepshree Buchade,
  • Trapti Mishra,
  • Deepa Pandit,
  • Krishna Apurva

摘要

The reason foodies are wonderful is that they adore food. Every dish has a backstory revealed by an intricate recipe; sadly, many people miss this because dish photos frequently contain false information. As a result, we present an inverted cooking system in this paper that can replicate various cooking visuals for lovers. Our unique system uses a sleek new model to predict ingredients, model their expectations without judgment, and then start creating cooking suggestions by focusing on both the image and the ingredients the image evokes. We like to comprehensively evaluate all systems in the vast Recipe1M database and show that we have improved performance compared to last season’s preliminary forecast. We can do good things using images and menus, and our system can create more exciting menus than the access process based on human judgment.