Synthetic data is not a game
But why is there still a trust issue towards synthetic data? Or put another way, why is there a trust issue towards synthetic data that is not completely accurate?
It’s all about accuracy - Inaccurate synthetic data may make your AI weak
Not all synthetic data is created equal, and not all synthetic images can be considered as “correct” or accurate from a photometric point of view.
In addition to the above, these images and data are also configured to be displayed on a low dynamic range device such as a computer screen or TV, and lastly, to be viewed by humans. It’s fair to say that, at the end of the day, these images are just “pretty” images, ones that are qualitatively valid but don’t accurately simulate the behavior of a specific optical system, or a specific camera sensor…
This means that regarding these images as appropriate (from a photometric point of view) for training an autonomous transport perception system that requires the highest accuracy standards and minimal risk tolerance would be (if you’ll forgive the repetition) too risky…
It's also about sensors
Next-generation sensors that are being implemented in autonomous vehicles produce, and will continue to produce, data that will increasingly differ from a human-based visual model. For example, low or high lighting conditions, sensors that adapt to the lighting environment, new spectral filters to enhance object and material detection, infrared vision, etc.
You want to train your autonomous AI driving models with data coming from the same sensors your system is going to use. That’s why when you use synthetic data for training, you want to simulate those sensors as faithfully as possible and produce data that will be close to what the AI system model is going to consume. This will reduce the domain shift and help your system apply itself to the real world better.
Safety is not an option
With Anyverse™, you can accurately simulate any camera sensor and help you decide which one will perform better with your perception system. No more complex and expensive experiments with real devices, thanks to our state-of-the-art photometric pipeline.
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