3D Sensor Fusion

Run your models with confidence. We deliver high-quality 3D sensor fusion data labeling at scale and speed.

Improve 3D computer vision model accuracies with multi-sensor annotations for camera, lidar and radar sensors including 3D bounding boxes, 2D-3D linking and point cloud segmentations. Our automated sensor fusion tools allow easy visualization and highly-accurate yet fast labeling of data from multiple lidars and camera sensor setup.

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End-to-end sensor data services

We provide end-to-end labeling services and deep domain consulting for ML teams that need more than just a labeling platform. Our highly trained AI Community is focused on annotator productivity, quality and accuracy to deliver the best datasets for your ML and CV models. But, if a platform is all you need, we’ve got that covered too. Our ML-assisted tools and user-friendly interface ensure that your annotators are enabled in no time with built-in quality controls and best practices.

3D sensor fusion data labeling

From auto ground detection, to auto detection of static objects, to linked tracking across 2D and 3D, to smart interpolation frames, our sensor fusion tools allow easy visualization and highly-accurate yet fast labeling of data.

3D object tracking

Accurate object detection and tracking across frames in 3D point cloud scenarios. All objects of interest are assigned unique object IDs.

2D-3D linking

Accurate object detection and tracking across frames in 2D and 3D scenarios. All objects of interest are assigned unique tracking IDs and are linked in both scenes.

Screenshot of birds-eye-view of a street

Bird’s-eye-view labeling

Accurate bird’s-eye-view labeling for autonomous driving use cases. Labeled areas include no-risk drivable areas and high-risk areas like sidewalks.

Point cloud semantic segmentation

Accurate point-wise segmentation of 3D point clouds. Segmented objects include buildings, cars, vegetation, sky, roads and more.

Object classification

Accurate object classification for road scenes for autonomous perception models with multiple attributes.

Our experience

Discover how we help our clients build industry-leading ML and CV models.

Autonomous vehicles

From processing image and video data in real time to safely coordinating with other vehicles, AI is essential for autonomous vehicles. We provide scalable image and video data services including annotations for camera and lidar multi-sensor fusion for the safe development of autonomous vehicles.

Agriculture

Applying machine learning technologies to traditional agricultural systems can lead to faster, more accurate decision making for farmers and policy makers alike covering things like early detection and diagnosis of plant disease, to optimizing crop rotation and harvest times, to tracking, grading and sorting food production.

A healthcare professional examining a medical scan on a computer

Medical imaging

Many researchers around the world are looking to harness computer vision models to detect skin cancer, brain tumors and other diseases that can be diagnosed visually. To create and train these CV models, our network of medical professionals around the world accurately translate, transcribe and annotate medical data.