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Face Parsing 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.

This dataset focuses on detailed facial features, capturing diverse expressions and interactions, making it ideal for applications requiring fine-grained facial recognition and segmentation.

Sample

Image segmentation
facial recognition dataset

Specification

Dataset ID
MD-Image-006
Dataset Name
Face Parsing Dataset
Data Type
data-typeImage
Volume
About 100k
Data Collection
Internet collected face images with evenly distributed gender and age, covering multiple countries and variable hairstyle
Annotation
Semantic Segmentation
Annotation Notes
Fine labeling of 18 facial areas, including hair, left/right eyebrow, left/right eye, nose, upper/lower lip and so on.
Application Scenarios
Media & Entertainment;Internet;Social Media;Fashion & Apparel

Data Collections

Our dataset features over 100k internet-sourced facial images, meticulously selected to ensure a globally diverse representation. It encompasses a balanced mix of genders, a wide range of ages, and a variety of hairstyles, providing a comprehensive and authentic spectrum for enhanced facial recognition and parsing applications.

Data Applitcation

● Augmented Reality: Enhance AR applications with detailed facial parts segmentation.
● Security Systems: Improve security and surveillance with precise facial analysis.
● Healthcare: Support diagnostic tools with comprehensive facial part analysis.

Why choose our Face Parsing Dataset

● Comprehensive Annotations: Detailed segmentation across multiple facial features, including eyes, mouth, and hair.
● High Resolution: Images ranging from 300x300 to 4480x6720, ideal for AI training and media applications.
● Versatile Applications: Suitable for media, beauty, AI, and machine learning projects.

Quality Assurance

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

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