Standard DatasetsFood Contour Matting Dataset
The progress of video and photo editing applications relies heavily on high-quality datasets for machine learning models training. Our carefully selected datasets play a crucial role in enhancing the abilities of such applications, by offering accurate segmentation and recognition of different elements within images and videos.
Our "Food Contour Matting Dataset" enriches the culinary and visual content domains, featuring ~200 food types from global cuisines. It's designed for businesses in catering, tourism, and entertainment, offering personalized experiences through detailed segmentation annotations.
Sample
Specification
Dataset ID
MD-Image-002
Dataset Name
Food Contour Matting Dataset
Data Type
ImageVolume
About 30k
Data Collection
Internet collected images of food images taken indoors.
Annotation
Contour Segmentation,Segmentation
Annotation Notes
About 200 varieties of food, including European dishes, Asian cuisines, fast food, pastry and dessert, etc.
Application Scenarios
Tourism;Catering;Visual Entertainment
Data Collections
This dataset encompasses 30k images, meticulously selected to cover a broad spectrum of food, from European cuisines to Asian dishes and desserts. Captured indoors, each image is annotated with precision for contour segmentation, serving as a robust tool for culinary applications, content creation, and interactive entertainment, ensuring a rich depiction of global culinary traditions and presentation styles.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
FASSEG Repository [Learn more]
This collection offers datasets for frontal face segmentation (Frontal01 and Frontal02) and a dataset for faces in multiple poses (Multipose01).These datasets can be valuable for training models to perform face segmentation in different orientations and conditions.
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