CVEDIA solutions include SynCity, the industry leading simulator, custom synthetic datasets, and in-house algorithm training services using CVEDIA synthetic data. Our technology is designed to accelerate machine learning development by making machine learning accessible and uninhibited. With CVEDIA, synthetic data works.
Control for Bias Synthesize unique condition variables for system validation
Simulate Edge Case Scenarios Construct tests that are otherwise dangerous or cost prohibitive to explore
Reduce Data, Annotation, and Storage Costs SynCity’s synthetically generated data dramatically reduces project expenses
CVEDIA employs its simulation technology and advanced computer vision theory to build concentrated, high-fidelity synthetic training set packages. Our data science team has put in the time to reduce domain gap by validating our datasets against real world data – creating annotated datasets that are optimized for algorithm training.
Concentrated and highly entropic Reduce bias through purposefully designed environments
Fully Annotated 15 annotation types available, and counting
Validated against real data CVEDIA's synthetic data is successfully training client projects
CVEDIA works with teams interested in creating prototypes or proof-of-concept. Using synthetic data or a mixture of synthetic and real data, our team will train deep learning models to create validated, scalable AI systems. Affordable custom simulations will be tailored precisely to your needs.
We’ll work together to define your requirements, generate and validate data, train AI models, and help you drive significant return on your investment. Developing high performance algorithms is an iterative process and CVEDIA will work parallel to your team objectives to achieve optimal results.
Minimize timelines Most CVEDIA prototyping projects are complete in 6-8 weeks
Reduce project requirements Data collection, staffing, and budgeting costs can be dramatically reduced
Ushering in a new era of artificial intelligence
"FLIR has enjoyed its close collaboration with CVEDIA in Artificial Intelligence products. FLIR recognizes the value of SynCity to create datasets for our long list of applications. The flexibility and power of the tool enables us to keep improving the performance of the datasets we desire. We plan to use SynCity to its full potential and even beyond.
The availability of assets, the background creation options, the flexible sensor positioning, and the various supported modalities are just a few of the features that makes SynCity the only practical means at our disposal to create the required imagery in some cases. At FLIR, we are committed to develop intelligent value-added sensors, and believe that SynCity will be instrumental in realizing our projects."
"SynCity is a critical piece of technology for MechaSpin. As a software engineering services company, MechaSpin specializes in development of unique perception solutions for our customers. SynCity has enabled MechaSpin to rapidly and accurately develop LiDAR sensor processing algorithms for a variety of customers and environments (agriculture, marine, automotive and more).
Enabling MechaSpin's team to develop and test software without the need for real-world hardware has significantly improved the accuracy, performance, reliability and safety of our products. AJ and his team have been fully invested in MechaSpin's success from day one and continue to do everything they can to ensure it. Meanwhile, SynCity continues to evolve and improve, adding new sensors and environments. SynCity is our secret weapon and we can’t wait to see what the future holds for this tool."
"The most powerful use cases we encountered while using SynCity were the ability to run motion control testing, and sensor testing in an environment similar to where our vehicle would be operating during the competition. To test our vision systems, we were able to leverage SynCity's photorealistic rendering of roads much more similar to those we would encounter during the competition. This allowed us to identify and correct for many edge cases in our software prior to competition."Project Manager, MSU SAE AutoDrive Challenge Team