Standard DatasetsWhiskers Segmentation 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.
The "Whiskers Segmentation Dataset" is tailored for the beauty and media & entertainment sectors, consisting of internet-collected images with resolutions ranging from 1080 x 1070 to 1080 x 1350 pixels. This dataset focuses on contour segmentation, specifically targeting the segmentation of thick beard contours, aiding in applications related to grooming, virtual styling, and character design.
Sample
Specification
Dataset ID
MD-Image-063
Dataset Name
Whiskers Segmentation Dataset
Data Type
ImageVolume
About 1k
Data Collection
Internet collected images. Resolution ranges from 1080x 1070 to 1080x 1350
Annotation
Contour Segmentation
Annotation Notes
Thick beard contour Segmentation.
Application Scenarios
Media & Entertainment;Beauty
Data Collections
This dataset comprises approximately 1k images, each providing detailed contour segmentation of thick beards. The precise delineation of beard contours makes it a valuable resource for developing advanced grooming tools, virtual makeover applications, and enhancing the realism of digital characters in media and entertainment, by accurately representing facial hair styles and patterns.
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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