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Linker Networks

Data-labeling has never been easier

Reduce cost, accelerate time-to-market, and ensure quality with Linker’s continuous-learning auto-labeling platform

Microsoft announced Linker Networks AI-based auto-labeling technology has proved to take annotation efficiency and reliability to a whole new level.

We are proud to announce that Linker is now in Microsoft automotive partner ecosystem and is ready to power the future of mobility

"We provide AI dataset pre-processing services for autonomous driving cars. Our auto-labeling platform is built on Microsoft Azure, a segregated network that offers a secure environment for you to process your data. We offer intelligent auto-labeling models and a comprehensive range of production tools to generate“ground truth,” effectively." --Linker Chief Architect, Willy Kuo

How we do it

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10,000,000

Data Scalability

80%

Time Savings

99%

Accuracy

Linker provides

✔︎ Web-based Labeling Tool including LiDAR

✔︎ Seamless UI/UX

✔︎ Machine Learning Auto-Labeling Models

✔︎ Accuracy & Consistency Ground Truth

✔︎ Millions Data Labeling Scalability

✔︎ Data Locked & Security

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Advantage

Rich set of Tools

Flexibility and Configurable Tools

Our products are available in LiDAR 3D, 3D BBox, Segmentation, Polygon, Line & Spline, Landmarks for various use cases.

Tools

Line & Spline

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Line & Spline

with easy generating B-spline feature, annotating lines over all of the lane lines in the street-level image in second

3D LiDAR

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3D LiDAR

LiDAR tool gives you the capibility of labeling data from different angles and views to provide a clear and high-accurate data output

Segmetation

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Segmetation

Linker's semantic segmentation tool utilizes bounding box, key-point, and cuboid with composite attribute labels for complex metadata. It outputs image masks with pixel-level labels.

Landmark

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Landmark

Be able to identify facial expression and recognize status of drivers

3D BBOX

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3D BBOX

Draw 3D cuboids around all of the cars with direction in the image. Identify car type and direction.

Polygon

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Polygon

Draw tight polygon around lane on the ground and clearly group and mark target in images

Auto-Labeling AI

Continuous Learning Makes Labeling Efficient

Accelerate deep learning AI with quantifiable results
Sequence labeling with tracking objects & attributes
Scene label and flexibility availability
Auto-fitting objects’ boundary
UI/UX for professional labeling e.g. filters / layers / search

Features

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Track your Project

Track Your Project Progress in Real Time

Available to view task progress, leave comments and

check tasks labeling results

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Consistent and Accurate Data Quality

Golden sample monitoring and analysis

Labeling Training & Management
Quality Assurance, Monitor Test, Golden Sample on Accuracy & Consistency
Analysis System for Labeling KPI & Metrics: Productivity, Quality, Performance
Customized Error Check Algorithm

Data Security

Security Protocol / Platform System Network & Data Security

Labeler Guideline, NDA
Network Firewall, Locked Internet IP
Azure SAS token
Internal Communication Channel

GDPR: Data Protection / Right to be forgotten

Security Protocol
Right to be Forgotten Process

Cross-Domain AI Technology

Solutions

Mountain Drone

Driving

Construction Workers

Child with VR Set

Drone inspection

Detect agriculture tree, bird's nest, electronic tower insulator

LiDAR Sensor

Detect vehicle, pedestrian, obstacles ..etc.

Autonomous Driving

Detect vehicle, pedestrian, obstacles, lane markings, road markings, driver-able area, worldwide traffic light/signs

Worker Safety

Detect helmet, safety belt, insulation protection equipment, tripod, vent pipe

AR / VR

Content reviewing

Get Data-labeling with Linker Networks

Contact us

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