LiDAR Segmentation
LiDAR segmentation for ADAS with 97%+ quality for more than two years
Challenge
Segmenting and labeling massive LiDAR datasets requires high levels of precision to ensure safe, reliable ADAS applications. Mislabeling and inaccurate segmentation can lead to incorrect interpretations and cause safety issues. Scaling LiDAR data annotation is also challenging, calling for a balance between increasing the workforce—teams with more specialized skills and advanced training—and maintaining labeling quality. Our client needed such a team, and DDD delivered
DDD’s Solution
We expanded our specialized segmentation team from 20 annotators to more than 500 within a few months, training everyone on our client’s platform. Led by multiple team leads and trainers, our workforce has been successfully labeling 10,000K+ scenes each year for more than two years. Using an annotator-reviewer model, we exceed 97% quality week-to-week—per object, F1/IOU—a testament to our dedication to precision and relevance.
Providing consistent, high-precision data labeling for safe, reliable ADAS applications.
Impact
Thanks to DDD’s LiDAR segmentation work, our client is advancing its ADAS applications.After rapidly expanding our team, we’ve provided consistent data labeling for over two years. The ongoing work demonstrates our ability to manage large-scale, high-precision tasks crucial to ADAS effectiveness and safety.