FoodBD: A Polygon-Annotated Meal Image Dataset of Bangladeshi Cuisine with Visual and Nutritional Labels

FoodBD dataset, a novel food image dataset comprising 3,523 smartphone-captured meal images of Bangladeshi cuisine. Each image is annotated with polygon-based segmentation of individual food items spanning 67 categories. Additionally, 1,837 images include detailed nutritional information: carbohydrate, protein, fat, fiber, calorie, and glycemic load, estimated by a nutrition expert. FoodBD enables a wide range of tasks including multi-label classification, object detection, semantic segmentation, and nutrition estimation.