Video annotation is essential for training AI models, enabling them to recognize and interpret complex actions and objects within moving footage. Cuboid annotation enhances this process by adding a third dimension to standard bounding boxes, allowing for a more accurate representation of objects in 3D space throughout the video.
Question:
What challenges do you think annotators might face when working with cuboid annotations in videos compared to traditional bounding box methods?