Food Image Classification Dataset
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:
file_name
: str [unique values] - jpg image file namestype
: str [vegetarian
,non_vegetarian
] - type of foodsomething_sweet
: str [present
,not_present
] -present
if there is sweet, dessert, fruit, sweetened drink, sweet corn, etc., andnot_present
otherwisegreen_leaves
: str [present
,not_present
] -present
if there are green leaves and spinach, andnot_present
otherwise.
Annotations are performed manually.
food_labels.jpg
explains data and class distribution with pie charts.