Get Precise LiDAR Annotation Services

We provide LIDAR annotation services that support AI, ML, and data operation methodologies.

What Is LIDAR Annotation?

For geospatial technology, autonomous technology, and many other industrial applications, lidar Light Detection and Ranging data is a crucial sensor. Lidar uses lasers, scanners, and specialized GPS receivers to determine how far away an item is. Lidar data annotation is a complex and time-consuming task that necessitates expert-level data annotation knowledge. Computer vision and other deep learning models can be trained to execute a range of tasks by combining lidar annotation with image annotation.

Our professionals have decades of combined expertise analyzing thousands of data points and are skilled in annotating Lidar point cloud data. We provide a variety of Lidar annotation services, including 2D Bounding Box Annotation, Polygon/Contour Annotation, Semantic Segmentation, Cuboidal Annotation, Keypoint Annotation, and Polyline Annotation, to meet the demands of a client’s project. In addition to providing a full-service annotation platform, our team also creates unique automation processes for customers after determining their throughput and quality standards.

What Industries Use LIDAR Annotation

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Agriculture

Farmers and agricultural businesspeople may acquire a full-scale topographical image of the land and evaluate it to create a plan of action to optimize their overall earnings with the right use of AI and our image annotation data.

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Robotics

We offer a crucial element for the autonomy and navigation of robots. Touchless mobile and last-mile delivery robots can function automatically and securely with no assistance from people, thanks to our sensors. Additionally, they help autonomous mobile robots operate in a variety of challenging indoor and outdoor environments, including those with fluctuating temperatures, illumination, and precipitation.

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Security and Monitoring

Using our training data, we can enable AI in security cameras and drones to precisely recognize and observe the full depth of things, including people, cars, animals, and property.

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Infrastructure

We make smart city applications possible in order to improve operational effectiveness and social welfare. These systems detect and track conditions in several sectors, including pedestrian safety, vehicle traffic, parking space management, and more, using our lidar sensors. With our lidar scanning services, smart city apps may raise the standard of living, increase safety, and enhance public services.

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Retail

With structured, searchable, and pertinent data, our data annotation specialist assists retailers in achieving engaging CX for e-commerce and other digital platforms.

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Mapping

With lidar mapping services we help businesses create very precise 3D models of any area for mobile mapping quickly and easily. With the help of our sensors, the environment can be precisely measured and analyzed using a high-resolution surround view picture. Our sensors' functionality, range, and small size enable designers to create adaptable systems that can be tailored to meet mobile mapping requirements.

Services We Offer

Image Classification

For the purpose of identifying the objects in an image or video, image classification is a machine-learning task. It refers to image labeling services for machine learning that we use to identify the classes (or objects) that are present. When determining whether or not an image contains an object or abnormality, classification is helpful in determining a yes or no answer.

Object Recognition

Convolution Neural Network is the technique for object recognition that is most frequently employed (CNN). If the object is visible in the image, then its likelihood of output is high; otherwise, the likelihood of production for the other classes is either insignificant or low. In contrast to machine learning, the benefit of deep learning is that feature extraction from the data is not necessary.

Object Detection

To identify the items in an image or video and to pinpoint their locations, object detection combines classification and localization. It applies classification to distinct objects and makes use of bounding boxes.

Image Segmentation

In order to identify potentially important areas for additional processing, such as classification and object detection, image segmentation divides a picture into sections, each of which has its own specific shape and border. Highlighting foreground elements and making it simpler to evaluate them are the aims of image segmentation. Image annotation segmentation, as opposed to categorization and object detection, offers pixel-by-pixel information about an item.

We would be happy to respond to your inquiries or find out more information about your project if given a chance. To let us know how we can help, please fill out the form below!

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Image Annotation Techniques & Types We Provide

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2D Bounding Box Annotation

In order to categorize and classify interesting photos and their properties for robotics, drones, visual search, retail, and autonomous vehicles, we employ 2D bounding boxes. We further employ 3D bounding boxes to estimate the height, width, and depth of objects in order to train exact object detection.

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Polygon/Contour Annotation

Delimiting the contours of your items will help your model learn by removing any unwanted noise. With an infinite number of segments, point orderings, instance-based image annotation online, and output format customization, our image annotation company tool can accommodate all of your requirements.

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Semantic Segmentation

2D-3D Bounding boxes and polygons can be used to annotate certain things in an image. On the other hand, semantic segmentation annotation is used to annotate each pixel in a given image. Semantic segmentation allows for the pixel-level image labeling.

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Cuboidal Annotation

Annotators can create training datasets using cuboids to teach machine learning models how to recognize an object's depth. The item is then represented in three dimensions utilizing anchor points that are often found at its boundaries by connecting these dots with a line.

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Keypoint Annotation

This kind of annotation recognizes physical traits like facial expressions and emotions. One of the most typical applications for keypoint annotation is facial recognition.

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Polyline Annotation

Our image annotator creates training datasets using polyline annotation to teach a machine learning model how to detect and operate inside physical bounds. Common use cases include teaching autonomous vehicles about the limits of the road.

How to Order Lidar Annotation Services With Us

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1. Contact us by filling out the form below

Clearly outline the scope, team size, schedule, time zone, and working hours of your outsourcing project.

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3. Receive an offer and estimate from us

Clearly outline the scope, team size, schedule, time zone, and working hours of your outsourcing project.

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2. Share the project specifications

Your project transition, team structure, and procedure are built up by us. We select the most qualified candidates, establish the necessary systems, implement your protocols, train them, take over the procedure, and oversee the project.

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4. Pay the bill and begin the collaboration

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Our Advantages

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Increased Efficiency

You can automate tasks that would normally need a lot of manual labor, thanks to image data annotation. By classifying or categorizing the data, you can reduce the amount of time and money you spend looking for it.

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Enhanced Customer Satisfaction

By leveraging data to better understand your consumers' needs and preferences, you can provide them with the products, services, or experiences they want.

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Gaining Success for Your Company

Whether you want to increase productivity, improve the quality of your data, or form more knowledgeable decisions, online image annotation can help you accomplish your objectives.

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Higher Data Quality

Light Detection and Ranging labeling or categorization makes it easier to find the data you need and remove the data you don't.

3 Main Models of Cooperation We Offer

We constantly adapt the model of collaboration to the specifics of the service and the customer’s preferences when it comes to billing, licensing, and service maintenance. 

Managed lidar annotation service

We only need the raw data and your specifications; the lidar annotation services and quality assurance testing will be handled by us within the allocated time.

  • For: tasks with a modest budget or a tight timeframe
  • Terms of payment: pay for labor and supplies

Part-time lidar annotation specialist dedicated to your project

We assign a qualified labeling image specialist who works closely with you on the project, offers lidar services with a flexible workload, and takes care of quality assurance.

  • For: jobs with a variable workload and specific guidelines
  • Terms of payment: determined by the number of hours worked

Full-time lidar annotation specialist fully dedicated to your project

We find a committed worker that commits 40 hours per week to work only on your project and provides image labeling services for you in accordance with your instructions.

  • For: Extended tasks that take the entire day to accomplish
  • Terms of payment: every month

Contact Us

If you’re ready to take your AI performance to the next level, don’t hesitate to get in touch with us today. Start Contracting Out Your LIDAR Annotation Work Right Now!