Datagen Documentation
The Datagen platform is an all-purpose generator of synthetic images of human faces and bodies, providing perfectly annotated datapoints for training and testing your neural network.
This site helps you make the best use of our platform and API.
SDK quickstart
Use our Quickstart to create a datapoint-to-order in less than ten minutes!Sample datapoints
Here is a sampling of the data you can generate on our platform: visual spectrum images, semantic segmentation, normal maps, and depth maps.
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Contents
Overview: Installation and usage of our SDK, which you can use to generate data requests to order custom datapoints
About data requests: A detailed guide to the structure of a custom data request, through which you exercise granular control over the datapoints you order from our system
Modalities Handbook: An in-depth look at all of the types of data and metadata that you receive when you generate data on our platform or API
Playbooks: Guidelines for how best to use our platform for specific neural network tasks
About Datagen: Who we are and what we do
External Links
Log in to our platform and begin generating synthetic data
DGutils, a GitHub repository of Jupyter notebooks and other tools to help you process your data
Download and learn about our SDK on the PyPI website