3D Point Cloud Annotation
We create high-quality labeled datasets using 3D Point Cloud Annotation that can be used in machine learning applications for improving the accuracy of automated object detection and recognition systems. You can leverage our 3D Point Cloud Annotation Services for hastening integration of AI into LiDAR models using appropriately annotated and labeled datasets.
Core Capabilities
Advanced technology built for enterprise scale.
Polyline Annotation
This tool utilizes straight lines in place of boxes to objects or regions. A professional LiDAR service can ensure that the annotation is accurate and consistent.
Polygon Annotation
Images and videos are annotated using polygon shapes that are drawn around objects or regions of interest manually. The AI model can detect objects accurately only using accurate polygons which are created using 3D point cloud annotation and labeling tools.
Semantic Segmentation Annotation
Semantic segmentation annotation is used by an AI model to learn how to identify individual objects and classes within an image by manually labeling each pixel. It helps an AI model to recognize objects and better understand the context of an image.
3D Boxes
3D Boxes detect objects and track single points with precision, like the exact size, speed, yaw, and pitch, including dimensions for objects like pedestrians and bicycles in drivable lanes.
Proven Applications
See how industry leaders are leveraging our solutions in production environments.
Discuss Your Use Case
Automobile Automation
The automobile industry uses well-annotated AI training data for facilitating quick deployment of AI in vehicles, detect vulnerable roads and road users, traffic lights, traffic signals, and vehicles.
Security & Surveillance
AI in security cameras and drones can be used for detecting and viewing the depth of objects like humans, automobiles, animals, and property by utilizing our training data.
Agriculture
Farmers and businessmen can acquire a full-scale topographical view of land and analyze it to create a plan of action for maximizing overall gains by implementing AI with our annotated training data.
Defense
LiDAR Annotation is widely used in security and defense applications. These include border surveillance, area mapping, and target detection. LiDAR is also used in emergency response and disaster management.
Why Choose Coral Mountain Data
Annotation of LiDAR data can be a challenging task due to the low resolution and complex annotation process involved. We are your ideal partner.
Steps in Video Annotation
Specialize
We specialize in validating labels, identifying issues, and labeling data so that it functions well with your machine learning models.
Labeling
We can label any type of LiDAR generated data by using right tools and techniques. We can quickly label objects on the move using ML training models.
One-click Annotation
We can enable one-click annotation of 3D objects using a fully customizable labeling process
Expertise
We are experts in point cloud data, 3D object tracking with 2D mapping, semantic segmentation annotation for AI training applications.
Outsource To Us
With us as your preferred AI training data partner, enjoy highly refined LiDAR annotations tailored to meet specific industry needs.
Quality on a Promise
Our team comprises of experienced professionals who are deeply committed to providing well-refined LiDAR annotation services.
Uncompromised Data Security
Our team comprises of experienced professionals who are deeply committed to providing well-refined LiDAR annotation services.
Scalable with Quick Turnaround Time
Our team comprises of experienced professionals who are deeply committed to providing well-refined LiDAR annotation services.
Flexible Pricing
Our team comprises of experienced professionals who are deeply committed to providing well-refined LiDAR annotation services.