Data Annotation
Scale your AI training with high-quality data annotation services that ensure accurate, consistent, and reliable labeled datasets.
What Is Data Annotation?
Data annotation is the process of labeling raw data to make it understandable for machine learning algorithms. It involves adding metadata, tags, or labels to images, text, audio, or video data to train AI models effectively.
At Meraken, we provide comprehensive data annotation services that ensure your training data is accurate, consistent, and ready for machine learning. Our expert annotators and quality control processes deliver the high-quality datasets your AI models need to succeed.
Why It Matters Now
AI models are only as good as their training data. Poor quality annotations lead to poor model performance. Our data annotation services deliver accuracy, not just volume.
High accuracy
Expert annotators ensure 99%+ accuracy in data labeling.
Scalable solutions
Handle projects from thousands to millions of data points.
Quality assurance
Multi-level review process ensures consistent, reliable results.
Domain expertise
Specialized annotators for medical, legal, and technical domains.
Real‑World Use Cases
Our data annotation services support AI development across industries:
Computer Vision
Image classification, object detection, and semantic segmentation for visual AI models.
Natural Language Processing
Text classification, sentiment analysis, and named entity recognition for language models.
Medical AI
Medical image annotation, clinical text labeling, and diagnostic data preparation.
Autonomous Vehicles
Lidar point cloud annotation, traffic sign recognition, and pedestrian detection labeling.
How It Works
We deliver high-quality data annotation using a proven, systematic approach.
Project Setup
Understanding requirements and creating annotation guidelines and workflows.
Annotation
Expert annotators label your data according to project specifications.
Quality Review
Multi-level quality assurance to ensure accuracy and consistency.
Validation
Final validation and testing to ensure data meets your standards.
Delivery
Secure delivery of annotated datasets in your preferred format.
Who Is It For?
Best suited for organizations developing AI models that require high-quality training data.
AI Startups
Emerging companies needing quality training data for their AI models
Tech Companies
Technology companies developing computer vision and NLP solutions
Healthcare
Medical organizations developing AI for diagnosis and treatment
Automotive
Car manufacturers developing autonomous driving technologies
Research Institutions
Universities and research labs conducting AI research projects
Real‑World Impact
A computer vision startup was struggling to train their object detection model due to inconsistent and low-quality annotations. Their in-house team couldn't keep up with the volume and complexity of data labeling required for accurate model training.
Meraken stepped in to provide comprehensive data annotation services for their autonomous vehicle project. We assembled a team of specialized annotators and implemented rigorous quality control processes, enabling them to:
- Annotate 500,000+ images with 99.2% accuracy
- Reduce annotation time by 80% compared to in-house efforts
- Improve model performance by 35% through better training data
Within just six weeks, the annotated dataset was delivered. The improved training data led to a 35% increase in model accuracy, 50% faster development cycles, and helped the startup secure $15M in Series A funding. The high-quality annotations became a competitive advantage that accelerated their go-to-market timeline.
How Meraken Helps
Need high-quality data annotation for your AI project? Or want to scale your training data? We'll build it.
Average accuracy achieved in our data annotation projects
Typical turnaround time for data annotation projects
Faster annotation compared to in-house efforts
Continuous annotation and quality monitoring
FAQs
Get clear answers to common questions about data annotation, quality assurance, and project timelines.
We annotate images, text, audio, video, and 3D data across various domains including medical, automotive, and general computer vision.
We use multi-level quality assurance, expert annotators, and automated validation tools to ensure 99%+ accuracy.
Yes, we have strict security protocols and can handle sensitive data including medical and financial information with proper NDAs.
We deliver in all standard formats including COCO, YOLO, Pascal VOC, JSON, XML, and custom formats based on your requirements.
Ready to Scale Data Labeling?
Let's co‑create the next generation of AI training data — from raw data to model-ready datasets.