Standard DatasetsFace Segmentation Dataset-17 Parts
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 "Face Segmentation Dataset-17 Parts" is specifically compiled for the visual entertainment industry, featuring a range of internet-collected facial images with resolutions exceeding 1024 x 682 pixels. This dataset is dedicated to semantic segmentation, delineating 17 facial categories such as eyebrows, lips, eye pupils, and more. It also includes a selection of portrait images with occlusions, adding complexity and diversity to the dataset for more realistic application scenarios.
Sample
Specification
Dataset ID
MD-Image-075
Dataset Name
Face Segmentation Dataset-17 Parts
Data Type
ImageVolume
About 2k
Data Collection
Internet collected images. Resolution is over 1024 x 682.
Annotation
Semantic Segmentation
Annotation Notes
Segmentation of 17 categories including left and right eyebrows, upper and lower lips, left and right eye pupils, etc., and a certain percentage of portrait images with occlusion in the image.
Application Scenarios
Visual Entertainment
Data Collections
This dataset consists of approximately 2k images, each segmented into 17 distinct facial categories, providing detailed mapping of facial features. The inclusion of images with occlusions enhances the dataset's utility for developing and testing advanced facial recognition and editing tools, character modeling, and animation systems in visual entertainment. The comprehensive segmentation of facial components allows for nuanced character expressions and more lifelike digital representations in movies, games, and other visual media.
Data Applitcation
● Facial Recognition: Improve identification accuracy with detailed facial part segmentation.
● Beauty Tech: Develop virtual try-ons and personalized skincare solutions.
● Medical Imaging: Enhance diagnostic tools with precise facial part analysis.
● Virtual Assistants: Create realistic and responsive virtual avatars.
● Augmented Reality (AR): Design immersive AR experiences with precise face part segmentation.
Why choose our Face Segmentation Dataset-17 Parts
● Detailed Annotations: Comprehensive segmentation of 17 facial parts.
● High Resolution: Images with high clarity and quality for professional use.
● Versatile Applications: Suitable for a wide range of AI and machine learning projects.
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.
Related products
Any further information, please contact us.
