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Parallel Domain Synthetic Data Improves Cyclist Detection
Parallel Domain synthetic data significantly improves performance on rare classes such as bicycles with no changes to model architecture.
Beating the State of the Art in Object Tracking with Synthetic Data
Machine learning models for object tracking have improved significantly in the past few years, but the current leading…
How TRI Trains Better Computer Vision Models with PD Synthetic Data
We recently had the opportunity to sit down with Toyota Research Institute’s Head of Machine Learning Research, Adrien…
Why I Joined Parallel Domain: Building the API for Synthetic Data
I’ve spent the last decade helping companies adopt APIs that solve real business problems. Most recently, I spent 3…
What is a Parallel Domain?
Mastering a domain is critical to the safe deployment of an AI technology. When developing autonomous systems to drive…
Announcing Our Series A to Accelerate Computer Vision Development
Artificial intelligence has the opportunity to significantly improve the quality of life for billions of people, but…