Stack Matrix

Data annotation Services

data annotation Services & Solutions

Artificial Intelligence (AI) and Machine Learning (ML) dictate a new approach to business – one that requires plenty of data. Pick the best data annotation outsourcing service for computer vision while saving money and time!


stackmatrix data annotation services are catered to the unique needs of our clients. Our most common labeling services focus on high-quality text annotation, video annotation, audio annotation, and image annotation. iMerit teams work with clients to calibrate their quality requirements using custom processes that guarantee validation of the annotation work. All annotation work is turned around rapidly by a highly-qualified team of subject matter experts.



Experts provide image annotation services including bounding boxes, polygon annotations, key point annotation, LiDar, semantic segmentation, semantic annotation, and image classification. Each workflow is designed to guarantee quality across every pixel of a given image.


Text annotation services including sentiment analysis, intent analysis, named-entity recognition (NER), and entity classification for use in NLP and machine learning models like chatbots to understand text and metadata for use in natural language processing, sentiment analysis, spam & intent detection, and more.


Experts label videofootage to train computer vision models to detect and identify objects. iMerit provides various video annotation services including bounding box annotation, polygon annotations, key point annotation, and semantic segmentation for use in self-driving cars, drones, robotics, and more.


Annotates audio material into text formats that machines and computers can understand. The text data can then be labeled to perform tasks like named entity recognition (NER), sentiment analysis, and conversation categorization.

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Transformative, solution-based approach. Interdisciplinary data annotation problem solving.

2: Labeling TRAINING

Targeted resources. Custom skilling. Focused and deep microlearning curriculum. Domain expertise. Rostering tools.


Alignment of data annotation tools and processes. Structured development milestones. Two-step production.


Transparency via analytics. Real-time monitoring and service delivery insights. Edge case insights.

5: Annotation EVALUATION

Assessment of deliverables. Appraisal of key metrics, quality control processes. Model reconsideration.

What Can We Build for You?

Let’s discuss your ideas. We will send you an NDA before we talk. All the information is kept confidential.

Use Cases

Clinical Text Annotation

Delivered 30,000+ de-identified clinical documents adhering to Safe Harbor Guidelines. These documents were annotated (Named Entity Recognition) with 9 clinical entity types and 4 relationships to train AI models that aim to improve patient care.

Insurance Forms Annotation

Annotation of 10,000+ insurance forms with up to 10 entity tags to bifurcate forms into hazardous insurance vs. general insurance vs. non-insurance and annotated as per the guidelines using the onshore staff for insurance AI.

Auto Video Tag

Tagged 6,000+ quantifiable objects from 500+ video files based on guidelines to make the databases searchable to develop automatic video tagging & recognition applications capable of extracting & tag objects present in video scenes.

Experiences & Insight


At Data Vision, our experienced team excels in data annotation across domains. We understand diverse data types, follow industry best practices, and ensure accurate annotations. Trust us for high-quality data that meets your requirements.

Data Security

Data Vision provides customized data annotation solutions to meet your unique needs. We collaborate closely, align with your goals, and deliver results that exceed expectations. Trust us for personalized, high-quality annotations.

Tailored Solutions

At Data Vision, we offer tailored solutions for your unique data annotation needs. We collaborate closely, align with your goals, and accommodate specific requests. With our personalized approach, expect results that meet your expectations.


We scales to your needs, from small to large projects. Our flexible approach adapts to changing requirements. We handle diverse tasks like bounding boxes, semantic segmentation, and NLP annotations.