Data labeling practice through academic/personal projects (3D box annotation and 3D segmentation)
The candidate practiced 3D object annotation workflows focused on creating 3D box/cuboid-style labels for structured 3D datasets. The work also covered 3D segmentation labeling concepts, emphasizing accurate boundaries and consistent annotation quality. These activities were performed as part of academic and personal projects to strengthen AI training readiness for annotation tasks.• Performed accurate 3D box annotation and structured data labeling practices.• Applied concepts of 3D segmentation to improve label precision.• Collaborated with peers on technology-related assignments involving annotation tasks.• Developed analytical skills to support consistent labeling decisions.