Bounding Box Annotation tool for Object Detection - 1

2D Bounding Boxes

For object detection and localization in images and videos

Time per annotation
Lowest

Cost per annotation
Least 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

Bounding Box Annotation tool for Object Detection - 2

Object localization for
Self-driving cars

Extensively used to train autonomous driving perception models for pedestrians, traffic signs, lane obstacles, etc.

Bounding Box Annotation tool for Object Detection - 3

Object Detection for e-commerce

Used to train visual search machine learning models for recognition of various fashion accessories and furniture.

Bounding Box Annotation tool for Object Detection - 4

Damage detection for Insurance

Identification of car damage, roof damage or safety parameters from live world images to train machine learning models that detect the degree of damage for insurance claims.

Bounding Box Annotation tool for Object Detection - 5

Drone and Robot training

Labelled images for training smart surveillance drones and robots to identify a variety of objects.

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.

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Great companies choose Playment

Alibaba Starsky Driveai
Agoda Cortexica Cyngn

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