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

Published: 18 August 2025| Version 2 | DOI: 10.17632/xh3ghf3jbg.2
Contributors:
Benzir Ahmed ,
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,
,
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Description

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.

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Nutrition, Image Segmentation, Object Detection, Bangladesh

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