- Test Data
Computer vision algorithms performance is affected by many aspects: e.g. shadows, reflections, low contrasts, or occlusion.
Let's deal with them!
In particular for safety-related applications such as robotics or medical imaging, it is crucial to assure robustness – the insensibility against visual challenges. Testing with recorded images is a common approach, but has its limits.
We want to assure robustness of computer vision algorithms and will
VITRO provides synthetic test data – both stimuli and expected results – that allow for systematic assessment of application-specific robustness concerning the relevant challenges. Generated test data minimize test overhead and risk of missing important constellations.
… with redundant test data, but make every test run count! Start using VITRO already during development to facilitate all the benefits of test-driven development. Test data sets provided by VITRO are perfectly tailored to your application with maximum expressiveness regarding its robustness. Generated from models, the data is intrinsically consistent and precisely evaluable.