Old Person and Children Contour Segmentation Dataset
Advanced datasets and Generative AI are revolutionizing the fashion and e-commerce industries, providing customized experiences and immersive interactions for shoppers worldwide.Our datasets provide valuable insights into fashion trends, styles, and consumer preferences, enabling businesses to deliver personalized shopping experiences.
The "Old Person and Children Contour Segmentation Dataset" is crafted for the visual entertainment sector, featuring a collection of internet-collected images with resolutions ranging from 867 x 867 to 6000 x 4000 pixels. This dataset specializes in contour segmentation, focusing on delineating the outlines of elderly individuals and children, facilitating age-specific content creation and character modeling.
Sample
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Specification
Dataset ID
MD-Image-057
Dataset Name
Old Person and Children Contour Segmentation Dataset
Data Type
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Volume
About 20.3k
Data Collection
Internet collected images. Resolution ranges from 867 * 867 to 6000*4000
Annotation
Contour Segmentation
Annotation Notes
Contour Segmentation of the old man and children.
Application Scenarios
Visual Entertainment
Data Collections
This dataset comprises approximately 20.3k images, each segmented to highlight the contours of older adults and children. The precise contour segmentation aids in distinguishing between these age groups, supporting various applications in visual entertainment such as animation, digital content creation, and special effects that require detailed representations of different age demographics. This dataset enhances the realism and relatability of visual content by accurately portraying the unique characteristics of each age group.
Quality Assurance
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Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
Fashionpedia [Learn more]
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DeepFashion2 [Learn more]
A comprehensive fashion dataset containing 491K images of 13 popular clothing categories from both commercial and consumer sources. Each item is meticulously labeled with attributes such as scale, occlusion, viewpoint, category, and style, making it a versatile benchmark for clothing image understanding.
DeepFashion [Learn more]
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