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iMerit is #20 on Deloitte Technology Fast 50 India 2019! Read more here

What we do

From object identification to image labeling to video analysis, we create your Computer Vision ground truth so you can extract intelligence from your visual data.

How we do it

Extensive experience: over 150 million images segmented and annotated. Custom workforce training. Dedicated project management and tools team. Edge case insights. 100% quality control.

Who uses it

Our customers use Computer Vision in diverse fields including autonomous vehicles, aerial and medical imagery analysis, sports and mixed reality.

Computer Vision Services

Depending on your accuracy needs, we can identify objects using polygons or bounding boxes. Our tools can also be configured for edge-sharing and parent-child constraints, for multi-frame sequences, and for large images like aerial photos.

Image & Object Classification Computer Vision Service

Image & object classification

We can classify images or
objects based on custom
multi-level taxonomies.

Keypoint Annotation Computer Vision Service

Keypoint annotation

We can mark facial features,
joint positions or landmarks,
using individual points.

Polygon & Bounding Box Annotation Computer Vision Service

Polygon & bounding box annotation

Depending on your accuracy needs,
we can identify objects using
polygons or bounding boxes. Our
tools can also be configured for
edge-sharing and parent-child
constraints, for multi-frame
sequences, and for large images
like aerial photos.

Semantic Segmentation Computer Vision Service

Semantic segmentation

An image can be completely
segmented into its
component objects and
annotated. This highly
detailed work requires image
experts who work from our
Centers of Excellence.

Object Tracking Video

Object tracking in video

We can track objects such as
vehicles through video,
including occluded sections,
by correlating frames back
and forth. Coming soon:
automated object tracking.

LiDAR Segmentation Computer Vision Service

LiDAR segmentation

Our teams label images captured by multi-sensor cameras to build high-quality ground-truth datasets.

Aerial visual data annotation
Baseball sports keypoint annotation
Autonomous driving computer vision data
Medical Healthcare Diagnostic Computer Vision images
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