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Solutions for Autonomous Vehicle Technology

Comprehend and React to Dynamic Road Elements in Real Time

Quality Matters when it comes to Safety

Building autonomous vehicle technology demands precise understanding and interaction with real-world environments. Labeling without expertise often lacks the depth and accuracy needed for safe and efficient vehicle automation.

With poor-quality annotations, autonomous vehicles may struggle to detect and respond to obstacles accurately, leading to safety hazards. Insufficient data can also result in flawed AI responses, delayed product development, and failure to meet regulatory expectations.

Our data annotation managed services are highly trained to manage complexities, including integrating advanced LiDAR annotations with 3D Point Cloud processing, among other forms of annotations. Empower your autonomous technologies with our accurate and reliable labeling solutions.

Data Solutions for Safe & Reliable Mobility Technology

Image Object & Sign Detection

Object & Sign Detection

Using bounding boxes and polygons, we identify and annotate all critical objects on the road, from vehicles and pedestrians to road signs. This ensures your ADAS recognises and reacts accurately to dynamic road conditions.

Image Lane Marking Detection

Lane Marking Detection

Utilising polygons, polylines, and key points, we meticulously mark lane boundaries and markings on the road. This information supports your system’s lane-keeping and lane-departure warnings, ensuring precise lane navigation.

Image Behavioral Analysis

Behavioral Analysis

We assign behavioural attributes to moving objects such as cycles and pedestrians, including time series analysis. This aids your ADAS in predicting potential road behaviours and proactively taking safety measures.

Image Distance Estimation

Distance Estimation

With 3D cuboids and point clouds of LiDARs, we measure the distance between your vehicle and nearby objects to the millimetre, crucial for implementing effective collision avoidance and adaptive cruise control.

Image Advanced Segmentation

Advanced Segmentation

Our segmentation techniques distinguish between drivable and non-drivable areas, categorising different elements of the road environment. This segmentation supports complex road situations and enhances overall driving safety.

Image Traffic Offence & Penalty

Traffic Offence & Penalty

Using bounding boxes and video annotations, we train on-road cameras to detect license plates and read vehicle registration numbers for fines and penalties. We also capture real-time images of the driver for facial recognition.

Build the Future of Autonomous Mobility with Us

Why Choose Annotation Labs?

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Expertise & Experience

Our workforce is rigorously trained across diverse datasets and edge cases, ensuring unmatched precision and high-quality

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Quality Assurance

We leverage cutting-edge, AI-enhanced tools that streamline the annotation process for faster, more accurate results

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Dedicated Project Manager

Each client benefits from a dedicated manager, ensuring personalized oversight and alignment of progress with client goals

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Enterprise Grade Solution

We deliver high-quality, scalable data solutions that meet the stringent demands of global-level AI & ML projects

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SLA Driven Contracts

Our services are SLAs & KPIs driven, which guarantee reliability and timely delivery according to your specifications

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Optimise Budgets

Tailored solutions designed to maximise efficiency and reduce costs, ensuring the best value for your technology expenses

60+ Happy Clients

200+ Successful Projects

4.8/5 CSAT score

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Our team is happy to offer advice and answer your questions about Generative AI, NLP & Data Labeling Solutions