Realising the full potential of data.

What We do

Bounding Box

For 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 Segmentation

For 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.

Line Annotation

Define pixel coordinate and polylines for precision training Autonomous Driving model. For self-driving cars. Well-defined various kinds of lanes for ego car, bicycle, divergence, opposite direction traffic.

Polygonal Annotation

For precise object shape detection and localization in images and videos.Used to best estimate the shape of objects captured from distant cameras.

Cuboid Annotation

For 3D perception from 2D images and videos.Used for training computer vision models for spatial cognition from 2D images or videos.


Categorization is the perfect way of processing large quantities of data quickly, accurately and inexpensively.

Keypoint Annotation

Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions.

Poly Mask Annotation

Specifies a space, in page units, that surrounds the Input Annotation Layer features used to create the mask polygons.