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Human Review Services by iMerit

Human-in-the-loop review by full time in house data specialists at our secure offices. For those projects that require an extra level of scrutiny, our inhouse data specialists verify the output of your ML on an ongoing basis. Our work includes semantic segmentation, bounding boxes, polygons, key points, named entities, salience, sentiment analysis, and document extraction. Our dedicated project managers work with you to scope your needs and set everyone up for success.

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About

iMerit provides human-in-the-loop annotation and labeling support on image, video, and text data for Machine Learning, NLP and Computer Vision. AWS Augmented AI (a2i) connects you to our in-house team and allows you to collaborate with us to achieve accurate and consistent results.

Our dedicated project managers work with you to calibrate quality and throughput of the job and deliver the best cost-quality ratio as you iterate. We can also provide full time dedicated resources. We have successfully worked with 70+ clients on AWS Ground Truth.

We provide accurate, consistent, secure, affordable, and ethically-sourced human-in-the-loop data labeling services with a full time workforce of 5500+ people in 10 delivery centers. Our clients range from Fortune 100 to early stage startups.

Core Capabilities:

Image: Semantic segmentation, 2D/3D bounding boxes, polygons, object tracking and key points, image classification

LiDar: Semantic segmentation, 2D/3D Cuboid/box annotation, landmark annotation, polygon annotation, and polyline annotation

Text: Named entity recognition and linking, salience, sentiment and intent analysis, part-of-speech tagging, enrichment and deduplication

Document Analysis and Extraction

Content Services: Moderation (monitoring, assessing, filtering)

Our clients work in autonomous vehicles, medical AI, geospatial, finance, insurance, agriculture, robotics, drones, ecommerce, public sector, etc.

We recommend running a sample batch to clarify instructions, edge cases and approximate task times, before launching full batches.

Operations are in shifts in India, Bhutan, and the US.

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