Solve your data challenges

Segmenting faces is often complicated by backgrounds, light, camera angles and occlusions like glasses or masks. Hair segmentation requires accurate edge detection and the ability to handle complex hair textures and structures.   
Our synthetic data solution solve these challenges with the following attributes:

100k+ identities with broad diversity

Use our API to control for ethnicity, age, gender, etc.

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Fast and pyperrealistic

Use our API to granularly control for age, gender, ethnicity, etc. 

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Over 200 hairstyles, endless permutations

Use our API for granular control of hairstyles, hair color, head pose, eye gaze, lighting, glasses, etc.

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Segmentation map

Get accurate annotations including previously unachievable semantic segmentation

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Rich Metadata

Generate images accompanied by all needed metadata (demographic, pose, light conditions, etc.)

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Full Privacy Compliance

Eliminate privacy concerns with our PII-free synthetic data, including for teenage identities

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Code template

Our code template can get you started with generating data for training a face and hair segmentation model. Use our template and SDK to code in Python for over 100K+ identities including age, gender, ethnicity and more. 

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