Training computer vision algorithms requires large volumes of labeled images, which are costly and time-consuming to capture in real environments. Virtual environments make it possible to generate those images in a controlled way and at scale.
The project's objectives were to:
- Analyze the problem and define the scenario and the use case.
- Design and develop a virtual environment editor geared toward training computer vision algorithms.
CTIC developed the project, applying its expertise in virtual reality and computer vision.
