Line Annotation tool for Computer Vision Research - 1

Line Annotation

Define pixel coordinate and polylines for precision training Autonomous Driving model

Time per annotation
High

Cost per annotation
Expensive

Shape perception
Present

Spatial perception
Absent

Supports 100s of classes

Well-designed tools to support large number of classes of interest.

Guaranteed Precision

Consensus models to verify each of the annotations by multiple users for label accuracy & annotation perfection.

Guaranteed Recall

Recursive checks from multiple users to detect all the objects of interest in the frame.

Use Cases

Line Annotation tool for Computer Vision Research - 2

Lane detection for self-driving cars.

Well-defined different kinds of lanes for ego car, bicycle, opposite direction traffic, divergence etc.

All kinds of complexities are handled

Multiple Shapes

All shape annotations on single media

Lots of Classes

Support for hundreds of classes

Pixel Perfect Annotation

Guaranteed highly accurate results

Country Specific

Contexual information from the data

Why Playment

Assured Quality

Guaranteed accuracy. We know you’d have it no other way.

Fully Managed

Use our API to get responses within minutes.

Faster at Scale

We do the heavy lifting so that you can relax.

Contact Us

To learn more about Playment

Didi Chuxing Daimler
Alibaba Starsky
Nuro UOW
Ford Naver
Driveai EverAI
Vaya Vision Universität Bonn
Flipkart Shopagon
Cortexica Binary VR
Agoda Illinois

Contact Us

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Great companies choose Playment

Alibaba Starsky Driveai
Agoda Cortexica Cyngn

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