Super-charge your data pipelines

  1. Industries
  2. Automotive

Accelerate the creation of your self-driving models

Our end-to-end AI Data Solutions enable the creation of high-quality datasets for the development of mapping, perception and prediction models at scale. With our computer vision experience and expertise, we can help you streamline your data pipeline for higher throughput.

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Data engineered for excellence

Leverage our state-of-the-art AI training platform and global AI Community to build high-quality training data at scale.

  • Advanced AI training platform

    Our sophisticated platform is built to support multi-sensor data and offers cutting-edge automation powered by machine learning (ML) to improve efficiency and reduce costs.

  • Industry-leading quality control

    Quality control is integrated into every stage of the data annotation process via platform-enabled quality checks, annotator training, robust analytics and best practices followed by our dedicated QA teams.

  • Global AI Community

    Take advantage of our diverse selection of skilled data annotation experts to reduce model bias and improve labeling accuracy for complex machine learning and computer vision models.

  • Privacy & security prioritization

    We enforce the highest security standards at all data touchpoints and ensure regulatory compliance with GDPR, CSL, Amended APPI and CCPA. Our computer vision capabilities are SOC 2 compliant and TISAX certified.

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    Solved complex industry use cases

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    High-quality annotations delivered

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    AI Community members

Use cases

From advanced driver assistance systems to L5 mobility perception models, we deliver fully-managed data annotation support for diverse and complex use cases.

  • bounding boxes around bus, cars and pedestrians on busy street to show object detection and localization

    Object detection and localization

    For multi-object detection and localization models, our platform offers annotation support for standard classes such as pedestrians, cyclists, cars, traffic signs, etc. We also support additional classes and attribute customization for complex mobility applications.

  • Bounding boxes on cars to indicate object detection and tracking

    Object detection and tracking

    Autonomous vehicle manufacturers collect data that spans several hours and different conditions to train advanced mapping and perception systems. Our platform's automated object interpolation and tracking capabilities significantly simplify video annotations.

  • people, dogs and cars on a busy street, correctly labeled to show pan-optic segmentation

    Panoptic segmentation

    Panoptic segmentation provides granular, pixel-critical information for advanced ML algorithms combining instance and non-instance annotations within a single frame. Further, unique instance IDs for each object of interest are assigned automatically to each segment.

  • 3D point-cloud segmentation

    3D point cloud segmentation

    Leverage accurate point-wise segmentation of 3D point clouds to build high-performing self-driving models. Our platform is compatible with a wide range of lidars, including solid-state or flash lidars that produce dense points with richer data.

  • Sensor fusion via 2D-3D linking

    Sensor fusion via 2D-3D linking

    Detect and track objects of interest across 2D images and 3D point clouds captured using complex sensor set up found in autonomous vehicles. Our platform has an auto-linking feature that accurately links objects in both 2D and 3D scenes across multiple frames.

  • Object movement tracking

    Accurately determine object shapes and track object movements via a sequence of pixel-accurate points using a landmark or key points annotation tool. These datasets are especially useful to train autonomous driver assistant/monitoring systems.

  • Irregular shape detection on a street

    Irregular shape detection

    Our platform’s auto-pixel detection for popular classes used in autonomous driving datasets (e.g. pedestrians, car shapes, road or lane markings, signboards, etc.) helps to simplify the annotation of different shapes and coarse objects in images and videos via polygons.

  • Lane detection

    Lane detection

    Autonomous vehicles are trained in numerous scenarios to accurately detect drivable areas by detecting lane lines during the daytime, in cities or highways and high-traffic areas. Our platform provides a polyline tool to support lane detection in 2D and 3D scenes.

Fuel your data pipeline with a continuous supply of high-quality training data

TELUS International is defining new benchmarks in data annotation to support autonomous vehicles with sophisticated ML-assisted tools, a scalable expert workforce, robust analytics and enterprise-grade platform services. With TISAX-certification and state-of-the-art deep learning models that auto-anonymize images, we enforce the highest security and privacy standards at every data touchpoint.

Image annotations

Image Annotation

Build high-quality image datasets using data annotation tools that support 2D/3D bounding boxes, polygons, polylines, landmarks and segmentation.

Multi-sensor/media support
Auto-labeling functions
ML-assisted segmentation
Simplified data exchange
High-threshold quality control
Robust annotation analytics
Video annotation of cars driving on highway

Video Annotation

Sensor collected objects of interest can be annotated using our ML-powered tools, regardless of sequence length.

Object tracking for large sequences
Auto-tracking via interpolations
Accurate instance support
Custom class list configurations
Additional attributes per instance
Built-in quality control tools
Cars with bounding boxes to show image annotation

Sensor Fusion

Access our best-in-class visualization and annotation infrastructure for labeling multi-sensor fusion datasets for autonomous driving.

Auto-ground detection models
Aggregated point cloud support
Auto-detection of static objects
2D & 3D object linking and tracking
Smart interpolation of frames
Advanced quality check tools

The essential guide to AI training data

Discover best practices for the sourcing, labeling and analyzing of training data from TELUS International, a leading provider of AI data solutions.

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