Food Image Classification

Dataset for Multi-target image classification

This dataset contains a selected photographs of ready-to-consume food from different parts of world.

food_annotated.csv file contains the following features to enable supervised image classification:

1. file_name : str [unique values] - jpg image file names
2. type : str [vegetarian,non_vegetarian] - type of food
3. something_sweet : str [present, not_present] - present if there is sweet, dessert, fruit, sweetened drink, sweet corn, etc., and not_present otherwise
4. green_leaves : str [present,not_present] - present if there are green leaves and spinach, and not_present otherwise.

Annotations are performed manually.

Acknowledgements

Direct source of this dataset is a GitHub repo: https://github.com/NandhiniPython/food Most of the images are collected from unsplash with thanks.