AI Data Operations
3D point cloud and LiDAR annotation for the models that perceive, predict, plan, map & simulate. Our domain expert, rigorously trained annotation teams deliver the annotated data that AI models can depend on, validated through a multi-stage quality process with precision and speed.
Capabilities
Full-Spectrum 3D Annotation, From Raw Point Cloud to Fused Multi-Sensor Frame. Whichever stage of the model development you need labelled data for, our domain expert teams can work within your existing or required tools and formats and deliver model-ready data your AI can rely on.
CAPABILITY / 01
Our domain expert annotators segment raw point cloud frames into distinct object and surface groups, giving your AI model a structured understanding of what each cluster of points represents before classification or tracking begins.
Once segmented, each region or point group is classified into the object categories your AI model needs to distinguish, from vehicles and pedestrians to static infrastructure.
We apply 3D bounding boxes and cuboid annotations across LiDAR and camera key frames to identify and localize objects in three-dimensional space, supporting AI models used in autonomous driving and robotics.
Our domain expert annotators work across synchronously captured camera, LiDAR, RADAR, and INS (IMU plus GPS) data, annotating fused frames.
Objects are tracked frame to frame across video and point cloud, maintaining consistent object identity through occlusion, motion, and changing sensor perspectives.
We separate drivable ground and road surfaces from surrounding objects and terrain within point cloud frames for navigation and obstacle avoidance models.
Our domain expert annotators have delivered point-level semantic labeling on LiDAR key frames across urban and highway environments, classifying road surface, vehicles, road users, and static infrastructure with attention to boundary precision and class consistency.
We create cuboid and 3D bounding box annotations across LiDAR point clouds and camera key frames, in complex environments, with particular attention to occlusions and distant, low point-density targets.
Our domain expert teams annotate drivable regions and free space using polygonal annotation, defining the navigable area available to a vehicle or robotic system in a given frame.
HAVE A SPECIFIC REQUIREMENT?
Tell us what your model needs. We’ll help you scope the annotation capabilities that fit your project.
Flexible data formats, tailored outputs, and tools that fit your workflow.
PCD · BIN · LAS · LAZ
JSON · Text · Custom schema
Leading & proprietary tools
Backed by deep domain expertise across 20+ industry verticals, we collect and annotate data your models can rely on.
We audit, correct and validate auto-annotated aerial data against your guidelines before it reaches your training pipeline.
Whether you need precisely annotated training data, real-world data collection, a dedicated in-house team, or other staffing solutions, Qualitas Global delivers all three under one roof. Backed by over a decade of experience, we back every engagement with a risk-free 2-day pilot before you commit.
