Standard DatasetsHair Semantic 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 "Hair Semantic Segmentation Dataset" serves the apparel and media & entertainment industries, featuring a curated collection of internet-collected images with resolutions varying from 343 x 358 to 2316 x 3088 pixels. This dataset specializes in high-precision contour and semantic segmentation of hair, offering detailed annotations for a wide range of hairstyles and textures.
Sample
Specification
Dataset ID
MD-Image-035
Dataset Name
Hair Semantic Segmentation Dataset
Data Type
ImageVolume
About 32.2k
Data Collection
Internet collected images. Resolution ranges from 343 x 358 to 2316 x 3088
Annotation
Semantic Segmentation,Contour Segmentation
Annotation Notes
High precision segmentation
Application Scenarios
Media & Entertainment;Apparel
Data Collections
With around 32.2k images, this dataset provides extensive data on hair segmentation, catering to applications requiring detailed hair analysis and styling simulation. The high precision of the annotations makes it an invaluable tool for developing advanced hair styling tools, virtual try-on applications, and enhancing the realism of digital characters in media and entertainment productions.
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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