Landmark Annotation tool for Computer Vision Research - 1

Landmark Annotation

Plotting a sequence of points to determine shape variations of minute and large objects

Time per annotation
High

Cost per annotation
Expensive

Shape perception
Absent

Spatial perception
Present

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

Landmark Annotation tool for Computer Vision Research - 2

Point annotation for satellite imagery

Used to detect and count minute objects like houses or trees in a area, cars in parking lots, etc.

Landmark Annotation tool for Computer Vision Research - 3

Landmarking for pose-point annotations

Detect poses of sports players for sports analytics, facial features for face recognition, prediction of pedestrians motion for autonomous vehicles.

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

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Great companies choose Playment

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