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Decoding the Streets: Boosting Road Sign Perception with Synthetic Data
Parallel Domain customers experience impressive double-digit performance gains in sign perception tasks.
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Flow like a Pro: Boosting Optical Flow with PD Synthetic Data
Parallel Domain (PD) synthetic data improves performance on optical flow tasks by 18.5% by matching flow magnitudes.
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Synthetic Data Best Practices for Perception Applications
Synthetic data best practices we learned from working with many perception teams and our internal research.
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Accelerate Your AI Progress with Synthetic Data: 10 Reasons to Start Now
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Not all Synthetic Datasets are Created Equal
Parallel Domain data improves unsupervised domain adaptation performance by 30% vs. GTA with no changes to model architecture.
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Parallel Domain Raises $30 Million Series B to super-train AI
The company reimagining how AI learns, realizing an autonomous future for everyone and everything
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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.
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Beating the State of the Art in Object Tracking with Synthetic Data
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How TRI Trains Better Computer Vision Models with PD Synthetic Data
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What is a Parallel Domain?
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