3D Point Cloud Labeling Services for LiDARs
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.Contact Us Now
Why Choose Us for Your LiDAR Annotation Services
Annotation of LiDAR data can be a challenging task due to the low resolution and complex annotation process involved. We are your ideal partner as:
We specialize in validating labels, identifying issues, and labeling data so that it functions well with your machine learning models.
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.
We can enable one-click annotation of 3D objects using a fully customizable labeling process.
We are experts in point cloud data, 3D object tracking with 2D mapping, semantic segmentation annotation for AI training applications.
Types of LiDAR Annotation Tools
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.
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 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.
3D Point Cloud Annotation Use Cases
Annotating 3D Point Clouds in a simple and efficient manner provides easy access to data from 3D environments. It allows developers to create digital models of real-world environments and accurately place virtual objects in the right. 3D Point Cloud Annotation has a variety of use cases in different fields, including augmented reality, robotics, autonomous vehicles, medical imaging, among others.
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.
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.
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.
Outsource To Us
With us as your preferred AI training data partner, enjoy highly refined video 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 video annotation services.
Uncompromised Data Security
Data security and maintaining our client’s confidentiality is our foremost priority. We ensure no data breach occurs at any point in the annotation process.
Scalable with Quick Turnaround Time
We have all the required resources and infrastructure to offer unparalleled video annotation services keeping timeliness and quality intact.
Our prices can be customized as per the specific services our clients wish to avail. We offer flexible pricing and a pay-as-you-avail pricing model.
Get Us On Board
Let us take the responsibility to contribute the best data annotation services for your computer vision-based models and AI algorithms.