The days when getting data to train your deep learning models was costly and time-consuming are over. Forget going out there to take thousands of real-world pictures. No more manually tagging the data. What if the data you get is not enough or makes your system biased?
With Anyverse we define together the data you need and how you need it.
Define your system’s sensors and camera rigging to produce images in the dataset. You can mimic the behavior of your system in the real world.
Define automatic variability. Change the layout and content of the scenes, change the sensors and camera rigging, add different points of view or unusual angles.
Add custom behaviors to specific assets in the scene if you need them.
Use a continuously growing asset library to define and build your scenes.
Change environmental conditions such as time of the day or weather conditions for every image in the dataset.
NOW YOU ARE READY TO DO YOUR MAGIC.
the Anyverse’s platform
Anyverse™ solution brings you a scalable platform to generate the synthetic dataset you need to train, validate and test your perception system’s deep learning model. It is based on a cloud architecture providing unparalleled computing power to generate as many images as you need at a fraction of the time and cost of real-world images.
For every sample, Anyverse™ Platform will generate a completely different new scene by applying your defined variability and render a sample as a shot taken from your camera rigging.
One data definition → Thousands of images
All these delivered directly to your own cloud storage.
The power of the most advanced physically-based render engine and the scalability of the cloud at the service of the most advanced AI-based perception systems.