Get fully annotated realistic data through code
Simulate dynamic humans to create high-quality data

Enjoy the benefits of synthetic data, improve your model for any task
Datagen’s solutions include a cloud based Platform and an API which allow computer vision teams to generate synthetic data of faces, full body humans and humans in motion, in the form of images and videos. Generate your datasets by easy-to-use UI or by coding – utilizing the Datagen SDK. The generated data covers a wide range of computer vision tasks such as:
Face landmark detection, face & hair segmentation, facial recognition & identification, full body pose estimation, full body segmentation, behavior detection.
Granular control or friendly UI

API
Easily code the exact dataset you need. Get datapoint level, granular control to the last detail.

Platform
Easily design and control your synthetic data preferences with an easy-to-use UI.
Powering your model with a synthetic data pipeline
High domain variance
Represents visual variances of the target domain to enable robust models
– Multiple environments
– Unique identities
– Various behaviors
– Camera parameters
– Lighting settings
Photorealism
Images and videos in high resolution with unprecedented quality, down to the last detail
– Highly realistic skin textures and tones
– True to life hair textures and styles
– Sharp and detailed eyes
– Accurate lighting
– Naturalistic environments
Edge cases
Generate and utilize edge case datasets to take your CV model to the next level
– Falling people
– Extreme head turns
– Facial expressions
Perfect ground truth
Get pixel-perfect ground truth such as depth and 3D key points without the manual labeling errors
– Dense keypoints
– Infrared
– Semantic segmentation
– Depth map
– Normal map
Design your human-centric application

Faces
- 50K+ human identities
- Various head and body poses, expressions, gaze direction, hair styles, accessories and more
- Camera parameters and positions

Humans in Motion
- Domain specific – in-cabin, smart office, home security, smart fitness
- Various identities and behaviors
- Multiple environments
- Camera parameters and positions
- Lighting settings