Data Annotation

Best for: Structuring raw data with high-quality labels to train AI models with precision

Data Annotation is a crucial step in machine learning model development, ensuring that AI systems can accurately interpret and learn from vast amounts of data.

By combining human expertise with AI-assisted automation, our annotation process delivers consistent, bias-free, and scalable labelling, ensuring that your AI models can recognise patterns, make predictions, and operate with accuracy.

Use cases

When to Choose Data Annotation

Image Recognition

Training AI for object detection, facial recognition, and medical imaging

Natural Language

Processing Enhancing chatbots, sentiment analysis, and multilingual text processing

Speech Recognition

Improving transcription, intent detection, and phonetic segmentation

Video Annotation

Enabling scene detection, gesture recognition, and movement tracking

Workflow

How It Works

1. Data Assessment

Defining annotation needs, labelling structure, and complexity levels

2. Annotation Process

Applying metadata, object tags, and sentiment markers with expert review

3. Quality Validation

Conducting multi-level checks to ensure accuracy and consistency

4. Data Delivery

Providing fully labelled datasets in formats ready for AI model training

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FAQs

In Case You're Wondering

What types of data can Glocco annotate?

We annotate text, images, audio, and video for AI applications in health care, retail, security, automotive, and more.

How does Glocco ensure annotation accuracy?

We use multi-step validation, combining human expertise with AI-assisted error detection, ensuring 99%+ accuracy levels.

Can Glocco scale annotation for large datasets?

Yes! Our hybrid AI-human annotation process enables fast, scalable labelling without sacrificing quality.

What annotation techniques do you support?

We offer bounding boxes, polygons, keypoint tracking, semantic segmentation, sentiment tagging, and metadata labelling based on your AI training needs.

How is Glocco’s annotation service different from automated labelling tools?

Unlike fully automated tools, we provide expert human verification to eliminate errors, biases, and inconsistencies, ensuring higher model accuracy.

Go Around the World Now

Think global with us! We’ve got you covered in 76 languages.

Case studies

Our Results Need No Translation

100%

Accuracy in Mission-Critical Translations

Confidential

100%

Consistency in ISO Docs Across 6 Languages

169%

Sales Growth Thanks to Localisation

Lucia Harcarova

Translation Coordinator | Muziker

70%

Cost Reduction

Milos Kondela

Marketing Director | Kondela

Not Sure If We're the Right Fit?

Let’s hop on a quick 15-minute call to figure it out!

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Data Annotation

Best for: Structuring raw data with high-quality labels to train AI models with precision

Data Annotation is a crucial step in machine learning model development, ensuring that AI systems can accurately interpret and learn from vast amounts of data.

Use cases

When to Choose Data Annotation

Workflow

How It Works

Let’s Respectthe Locals Together

FAQs

In Case You're Wondering

Go Around the World Now

Our Results Need No Translation

Confidential

Lucia Harcarova

Translation Coordinator | Muziker

Milos Kondela

Marketing Director | Kondela

Not Sure If We're the Right Fit?

Contact

Get in Touch

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Glocco headquarters

Bratislava

London

Delaware

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the Locals Together