Auto semantic segmentation by OCLAVI Predict TM αlpha which is a state-of-the-art model to annotate pixel-level image segmentation.
Our Image annotation solution enables you to do semantic segmentation with precision and highest-quality which helps in building state-of-the-art computer vision models.
Build training label data for computer vision models with our solution with highest quality.
Our Image labeling solution delivers highest-quality results which helps in building state-of-the-art computer vision models.
Few use cases to trigger your thinking
Build drone based models using segmentation that paves the way towards complete scene understanding.
Understanding a scene is a core computer vision problem by the fact that an increasing number of applications nourish from inferring knowledge from imagery.
Segmentation helps teach robotics to handle manufacturing, energy and health care ai in a much efficient way.
Detect vehicle movement and its dimension for autonomous driving
3D cuboid annotation is used to train the autonomous driving model to understand the real-world scenario.