SYNTHETIC DATA
for AI & Machine Learning
Synthetic data is artificially generated information that mimics real-world data. It can be used to train, test, and validate machine learning models when real data is scarce, expensive, or biased. Synthetic data plays a critical role in accelerating AI development by enabling greater diversity, control, and scalability across datasets.
PROCEDURAL CONTROL
Rapidly Iterate and Automate
Houdini’s procedural workflow is uniquely suited to the demands of synthetic data generation. With its node-based architecture, you can build intelligent systems that create richly varied 3D environments, randomized object interactions, and highly customizable annotations at scale.
Whether you’re working in computer vision, robotics, or simulation-driven AI, Houdini helps you produce high-quality synthetic datasets tailored to your specific machine learning needs. Houdini makes it easy to rapidly iterate and automate the creation of diverse 3D environments and scenarios.
SCALABLE OUTPUT
Generate Massive Datasets
Use randomized variations to reduce model bias and overfitting to help generate massive datasets.
NVIDIA uses procedural content creation to address key challenges in developing large-scale simulations for AI-powered autonomous systems. By integrating SideFX Houdini and OpenUSD with NVIDIA Omniverse, developers can create the detailed procedural assets and synthetic data needed to train AI models at scale with powerful domain randomizations.
Scaling Simulation Workflows
NVIDIA
CUSTOM ANNOTATIONS
Tailor-made Pipelines
Houdini helps you create precise labels, segmentation masks, depth maps, and sensor data with tailor-made pipelines.
Endava Synthetics presented their workflow for producing synthetic training data with an end-to-end pipeline built on top of Houdini. By leveraging Houdini’s core functionality and incorporating machine learning concepts, they produce synthetic datasets used to train machine vision algorithms to detect fillings and cavities in dental x-ray imagery.
Beyond Visible Light
Generating Synthetic Data
Endava
REALISM AT SPEED
Photorealistic or Stylized Datasets
Combine physical simulation, VFX-quality rendering, and lighting to produce photorealistic or stylized datasets.
Synthesis AI used Houdini to bring together generative AI and traditional procedural workflows to create a flexible AWS cloud-based pipeline capable of infinite automated asset and synthetic data production.
Automated Human Synthesis
Synthesis AI
GET STARTED
with Endava & SideFX Labs
SideFX has partnered with the AI Vision team at Endava, a next-generation technology services corporation, to bring you a suite of tools designed to facilitate creating dataset variations and annotations suitable for training Computer Vision scenarios.
The Endava Computer Vision tools are available now and can be accessed by installing the latest SideFX Labs toolset. You can also download an example file from the Content Library to explore a working example.