Training Data on Demand
Pre-labeled, pixel-perfect datasets for any computer vision problem.
Your next generation training data platform.
Unlimited training data. Any computer vision use case.
That's Zumo Labs.
Generate infinitely large custom datasets on demand.
Quickly iterate on new edge cases in days, not months.
Leverage techniques like domain randomization to close the sim2real gap.
Overcome algorithmic bias by knowing exactly what is in your training dataset.
Choose your detailed annotations, pixel-perfect segmentation and custom labels, occluded keypoints, 6D pose, and much more.
Why Synthetic Data?
Deep learning development has long been throttled by traditionally sourced static datasets. Synthetic data is a dynamic approach to dataset creation, using CGI and 3D rendering engines.
Synthetic data targets some of the core needs in training data—versatility, volume, and quality—while reducing bias, improving representation, and completely eliminating privacy concerns.
It’s data that improves through rapid iteration cycles, increasing the efficiency of your model development.
TRANSPORTATION
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"Synthetic data from Zumo Labs will help Thales develop cabin automation solutions that decrease congestion, facilitate aircraft disembarking, and manage passenger flow."
"Zumo Labs is building a future we can all trust by reimagining with airlines the way people travel."
Patrice Caine
Thales Group CEO
WORKPLACE
"The dark room use case that we've been working on with Zumo Labs is something that there'd be no way for us to gain ground truth on."
Tung Hoang
ML Engineer
Use Cases & Industries
Manufacturing
Human Faces
People Analytics
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Logistics
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Residential
Fitness
Infrastructure
Retail
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