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Single Hand Contour Segmentation Dataset

The "Single Hand Contour Segmentation Dataset" is aimed at the visual entertainment industry, featuring a collection of internet-collected images with a resolution of 1080 x 1920 pixels. This dataset focuses on contour segmentation, specifically targeting the annotation of a single hand. If small accessories are present on the hand, they are also included in the segmentation, distinguishing the hand and its adornments from the background.

Sample

Specification

Dataset ID
MD-Image-073
Dataset Name
Single Hand Contour Segmentation Dataset
Data Type
data-typeImage
Volume
About 12k
Data Collection
Internet collected images. Resolution is 1080 x 1920.
Annotation
Contour Segmentation
Annotation Notes
Annotate single hand, and if there are small accessories on the hand they are also included to the hand from the background.
Application Scenarios
Visual Entertainment

Data Collections

This dataset includes approximately 12k images, each providing detailed contour segmentation of a single hand, along with any small accessories that might be present. The precise segmentation of hands and accessories makes this dataset particularly valuable for applications in visual entertainment that require accurate hand modeling and interaction, such as in animation, augmented reality experiences, and virtual character design, enhancing the realism and interactivity of digital content.

Quality Assurance

Quality Assurance

Related products

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