Sensors are key to your model’s performance and testing them before implementing them becomes mission critical.
Testing sensors in the real world is not easy, and making the right decision means rigging a car with cameras, driving thousands of miles, curating the images and labeling them, training, and validating your deep learning models… And sometimes, not enough variability in the images to avoid bias in the system… On the other hand, not all synthetic images are valid for deep learning model training, if they can’t guarantee accurate ground truth they might risk computer vision-based systems operation and delay the entire development cycle.
Anyverse sensor simulation allows you to physically simulate different optics and sensors to generate high-fidelity datasets, reduce the domain gap, and accurately generalize to real-world inputs.
Last but not least, you will be able to shorten the development lifecycles which means saving you time and costs in order to prove your efforts are worthwhile.
We will always keep your personal information safe. We ask for your information in exchange for a valuable resource in order to (a) improve your browsing experience by personalizing the Anyverse site to your needs; (b) send information to you that we think may be of interest to you by email or other means; (c) send you marketing communications that we think may be of value to you. You can read more about our privacy policy here.
Absolutely! Just sharing some free knowledge that we hope you’ll find useful. Keep us in mind next time you have sensor simulation & synthetic data questions!
Sensors are key to your model’s performance and testing them before implementing them becomes mission critical.
Testing sensors in the real world is not easy, and making the right decision means rigging a car with cameras, driving thousands of miles, curating the images and labeling them, training, and validating your deep learning models… And sometimes, not enough variability in the images to avoid bias in the system… On the other hand, not all synthetic images are valid for deep learning model training, if they can’t guarantee accurate ground truth they might risk computer vision-based systems operation and delay the entire development cycle.
Anyverse sensor simulation allows you to physically simulate different optics and sensors to generate high-fidelity datasets, reduce the domain gap, and accurately generalize to real-world inputs.
Last but not least, you will be able to shorten the development lifecycles which means saving you time and costs in order to prove your efforts are worthwhile.
We will always keep your personal information safe. We ask for your information in exchange for a valuable resource in order to (a) improve your browsing experience by personalizing the Anyverse site to your needs; (b) send information to you that we think may be of interest to you by email or other means; (c) send you marketing communications that we think may be of value to you. You can read more about our privacy policy here.
Absolutely! Just sharing some free knowledge that we hope you’ll find useful. Keep us in mind next time you have sensor simulation & synthetic data questions!
