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3D Point Cloud Annotation

Delivers expert data annotation for autonomous vehicle projects. Our in-house teams ensure your self-driving models are trained accurately and efficiently.

3D Point Cloud Annotation Type

Diverse Data Types for 3D Point Cloud Annotation

1. CUBOID

Cuboids are a core 3D annotation format, allowing objects to be tagged and tracked in space by outlining their full dimensions – height, width, and depth

2. SEGMENTATION

Capture every detail in a scene, from foreground objects to background elements, to provide your model with a fully mapped and richly detailed environment

3. POLYLINES

Labels infrastructure elements – like roads, pipelines, and wires – to help your model interpret the scene accurately

4. KEYPOINTS

Provides detailed labels for small objects, helping AI grasp subtle scene details

3D Point Cloud Annotation Use Case

Extensive 3D Point Cloud Annotation Use Cases

1. SELF-DRIVING VEHICLES

As automated driving advances, vehicles must quickly and accurately understand their environment—from road structures and maps to moving cars, cyclists, pedestrians, and traffic signals

Achieving true autonomy requires teaching vehicles to reliably detect and interpret all these elements

2. SMART CITIES

Leverage advanced AI-powered point cloud classification to enhance the safety and reliability of electric power lines by automatically identifying critical assets and risks

By calculating precise distances between conductors and vegetation, utility companies can proactively identify risk zones and schedule targeted maintenance or trimming before violations occur – preventing outages, wildfires, and regulatory penalties

Why Smart Annotahub is your best partner for
high-quality 3D Point Cloud Annotation?

Our Advantages

Work with us to build a powerful data pipeline that fuels your machine learning and computer vision applications.
Trusted by global tech leaders for our skilled teams, flexible pricing models, and enterprise-grade quality

SCALABLE

Get fast results with high throughput and on-demand scalability. Whether you need 10,000 annotations or 100,000+, we handle projects of any size and scale effortlessly as your labeling needs grow

COST EFFECTIVE

Leverage competitive labor costs and flexible pricing models to meet diverse requirements with options for fixed rates on one-time projects or subscription plans. Our services outperform most data annotation providers in value, with discounts of up to 20% for large datasets

SUPERIOR QUALITY

We define measurable KPIs, such as accuracy and precision, and support them with a clear statistical QA process. 3 layers of human quality verification ensure remarkable results. This ensures consistent, high-quality output and helps you achieve your project goals efficiently

IN-HOUSE TEAM

Smart Annotahub delivers high-quality image and video datasets precisely tailored to your requirements. We assemble dedicated, multi-tiered teams led by experienced specialists, ensuring efficient management, scalability, and adaptability

SECURE

We safeguard your data through strict confidentiality protocols. All data is collected from reputable, legally compliant sources, and any data we create or annotate is high-quality and ready for use in your AI models

Workflow

Our 3D Point Cloud Annotation Workflow

Sign NDA

Ensure your information stays confidential

Analyze Requirements

Hearing and clarifying requirements

Pilot and Estimation

Using your sample dataset to demonstrate our capabilities and validate our approach. Present estimation

Setup & Communication

Establishing clear communication protocols and a shared timeline, utilizing consistent tracking systems throughout the entire project

Agreement

Finalizing the Service Level Agreement (SLA) and contract terms based on your feedback of pilot dataset

Team Assemble & Training

Assemble the right team for each project and train them under experienced leaders to ensure full alignment on guidelines and quality expectations

Kick-off Project

Our annotation team executes the project per the agreed plan, closely tracking progress and KPIs of each annotation specialist

Quality Assurance & Delivery

All annotated datasets undergo at least a 3-stage quality assurance before delivery. We conduct feedback to gather insights, ensuring continuous service improvement

Let's talk

Ready to work with Smart Annotahub to enhance your AI Models?

Whether you have questions about our services or want to explore partnership opportunities

Headquarters

52 Lien Ha, Lo Khe, Thu Lam, Ha Noi, Viet Nam

General inquiries

+8485-5633-339

Email address

contact@smartannotahub.com

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Send me the NDA