Autonomous Vehicle

iMerit collaborates to deploy AI and Machine Learning in the Computer Vision, Natural Language Processing and Content Services ecosystems by enriching, annotating and labeling data.

Bounding box annotation of cars, for Autonomous Vehicle applications

iMerit’s workforce extracts intelligence from 2D and 3D images and video to power the development and deployment of autonomous vehicle technology. It provides an end-to-end solution, from pre-annotation processing to dataset validation.


Bounding Box annotation for identifying cars, for Autonomous Vehicle applications
Bounding boxes

iMerit Computer Vision experts use rectangular box annotation to illustrate objects and train data, enabling algorithms to identify and localize objects during ML processes.

Polygon annotation, for labeling irregular shape objects, for Autonomous Vehicle applications
Polygon Annotation

Expert annotators plot points on each vertex of the target object. Polygon annotation allows all of the object’s exact edges to be annotated, regardless of shape.

Semantic segmentation to classify each pixel of a car, use case of computer vision
Semantic Segmentation

Images are segmented into component parts, by the iMerit team, and then annotated. iMerit Computer Vision experts detect desired objects within images at the pixel level.

panoptic segmentation of a street scene, a Computer Vision use case
PanOptic Segmentation

Coupling instance and semantic segmentation, iMerit enrichment teams identify the pixels in images as belonging to a class and identify what instances of that class they belong to.

Bounding box annotation of cars, for Autonomous Vehicle applications
Object tracking

iMerit teams detect instances of semantic objects of a certain class in digital images and videos, use cases could include face detection and pedestrian detection.

Lidar annotation for 3-D Imagery, use case of Computer vision

iMerit teams label images and videos in 360 degree visibility, captured by multi-sensor cameras, in order to build accurate, high-quality, ground truth datasets to power autonomous driving algorithms.

Combination of LiDAR and images to capture different angles and sensors for autonomous navigation
Multi-sensor Fusion

Combining LiDAR and images from multiple angles captured from different sensors, iMerit’s teams help to reduce uncertainty in navigation.

"iMerit offers an incredibly knowledgeable workforce. We trust them. They are part of our team, and they are the right people to manage the operational side of our enrichment efforts."

Director of Data Products, Research Institute of Autonomous Driving

By the Numbers


Full-time autonomous vehicle data experts



Data points enriched for AV use cases



Auto giants leverage iMerit for AV deployment


The need for speed in high-quality data annotation has never been greater. iMerit combines the best of predictive and automated annotation technology with world-class data annotation and subject matter experts to deliver the data you need to get to production, fast.

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