I will accurately annotate 3d lidar point clouds, 3d bounding box for object detection
Data Annotation Expert CVAT Labelstudio Labelbox labelme roboflow
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
Highly Responsive
Known for exceptionally quick replies
About this Gig
Need high-quality 3D LiDAR annotations for your autonomous driving or computer vision project? You're in the right place.
I offer precise and efficient annotation of 3D point cloud data, using top tools like Labelbox, Supervisely, CVAT, and Scalabel. Whether it's bounding boxes, cuboids, segmentation, or tracking, I ensure your LiDAR data is annotated accurately and consistently for training your models.
What I can do:
- 3D bounding boxes & cuboids
- Object tracking across frames
- Lane and road markings
- Semantic & instance segmentation
- Multi-sensor (LiDAR + Camera) alignment annotations
Why work with me?
- Experience with autonomous vehicle datasets (e.g., KITTI, Waymo, nuScenes)
- 100% quality assurance with validation checks
- Fast delivery and open communication
- Familiar with various annotation formats (.json, .pcd, .bin, etc.)
Let's make your dataset AI-ready. Feel free to message me before placing your order to discuss your project needs.
Technique:
Manual
Tagging type:
Image
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Video
My Portfolio
FAQ
Do you support specific annotation tools like CVAT or Labelbox?
Yes. I can annotate using CVAT, Labelbox, Supervisely, or any other tool you prefer. Just let me know your setup.
What formats will the annotations be delivered in?
I can deliver in formats like .json, .xml, .pcd, or any custom format you need. Let me know your project requirements.
Can you annotate multi-class objects in the same frame?
Absolutely. I support multiple object classes, such as cars, pedestrians, cyclists, etc., in a single frame.
Do you offer quality control or validation?
Yes. Every project includes manual QC to ensure accuracy and consistency across frames.
