Food Segmentation Dataset
The "Food Segmentation Dataset" serves the tourism and visual entertainment sectors, consisting of a curated selection of internet-collected images with resolutions from 256 x 256 to 1024 x 768 pixels. This dataset is dedicated to contour segmentation, focusing on common foods and their accompanying plates or bowls, facilitating detailed analysis and representation in various applications.
Sample


Specification
Dataset ID
MD-Image-046
Dataset Name
Food Segmentation Dataset
Data Type

Volume
About 8.3k
Data Collection
Internet collected images. Resolution ranges from 256 x 256 to 1024 x 768
Annotation
Contour Segmentation
Annotation Notes
Common food and associated plates / bowls.
Application Scenarios
Tourism;Visual Entertainment
Data Collections
With approximately 8.3k images, this dataset offers precise contour segmentation of a wide array of food items along with their serving dishes. The annotations enable the identification and differentiation of various culinary elements, making this dataset a valuable resource for enhancing virtual culinary experiences in tourism apps and creating realistic food scenes in visual entertainment projects.
Quality Assurance

Related products
Any further information, please contact us.