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    Bounding Box

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    Semantic Segmentation

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    Line Annotation

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    Polygon Annotation

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    Cuboid Annotation

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    Categorization

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    Key point annotation

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    Landmark annotation

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    Polymask Annotation

    Clients

    Aerobotics
    Arturo
    CompanionLabs
    DataLoop
    Multinarity
    Parifex
    shopic
    Taranis
    Bounding BoxFor object detection and localization in images and videos. Significantly used for object localization for self-driving cars, object detection for e-commerce, damage detection for insurance, drone and robot training.
    Semantic SegmentationFor pixel level scene understanding. Highly useful in autonomous vehicles and safety surveillance cameras, where information of every pixel is crucial and may affect the accuracy of the perception model.

    What our clients say about us

    “It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries.”

    Rahul Dravid

    Data Engineer, Dataloop

    “It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries.”

    Rahul Dravid

    Data Engineer, Dataloop

    Line AnnotationDefine pixel coordinate and polylines for precision training Autonomous Driving model. For self-driving cars. Well-defined various kinds of lanes for eg car, bicycle, divergence, opposite direction traffic
    Polygon AnnotationFor precise object shape detection and localization in images and videos.Used to best estimate the shape of objects captured from distant cameras.
    Cuboid AnnotationFor 3D perception from 2D images and videos.Used for training computer vision models for spatial cognition from 2D images or videos.
    CategorizationCategorization is the perfect way of processing large quantities of data quickly, accurately and inexpensively.
    Key point annotationManual image annotation is the process of manually defining regions in an image and creating a textual description of those regions.
    Landmark annotationWe offer fast, efficient keypoint annotation over multiple frames for a range of use cases, including facial recognition, emotion detection, and counting applications. Our platform has extensive capabilities that allow us to accurately label anatomical or structural points of interest in your data.
    Polymask AnnotationSpecifies a space, in page units, that surrounds the Input Annotation Layer features used to create the mask polygons
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