Standard DatasetsNails 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 "Nails Contour Segmentation Dataset" is crafted for the beauty industry, featuring a collection of offline human fingernail images, all at a uniform resolution of 1920 x 1080 pixels. This dataset specializes in semantic segmentation, with a focus on the detailed contour of fingernails, supporting applications in nail art design and virtual nail try-on technologies.
Sample
Specification
Dataset ID
MD-Image-051
Dataset Name
Nails Contour Segmentation Dataset
Data Type
ImageVolume
About 5.9k
Data Collection
Offline human fingernails colection. Resolution is 1920 * 1080.
Annotation
Semantic Segmentation
Annotation Notes
Contour of fingernails.
Application Scenarios
Beauty
Data Collections
This dataset includes approximately 5.9k images, each providing a clear view of human fingernails with contour segmentation annotations. The precise delineation of the nail contours makes this dataset a valuable tool for beauty applications, enabling the development of advanced nail art and care solutions, and enhancing user experiences in digital nail design platforms.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
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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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