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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

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Specification

Dataset ID
MD-Image-046
Dataset Name
Food Segmentation Dataset
Data Type
data-typeImage
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

Quality Assurance

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