Articles by Jeroen Claessens

Annotating Ground Truth in Computer Vision: Vector vs. Segmentation Annotations
Accurately interpreting the environment is crucial in computer vision, especially in fields like autonomous vehicles and robotics. This requires assigning meaning to dataset elements, known as annotations or data labels. The two primary methods to annotate ground truth data are vector and segmentation (or pixel) annotations, each with unique strengths [...]
Building your internal data labeling software
Annotation or labeling tooling has multiple use cases. Think about labelling datasets to use for your ML pipeline or to highlight objects on an image to display on your platform. Your platform might be in need of such a tool, but since it's not the core of your business, [...]



