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TU Dublin Quotes

Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.

Quotes
TU Dublin
Kyle Hamilton

Kyle Hamilton

PhD Researcher at TU Dublin

Trusted by ML Professionals

Yale
Princeton University
KAUST
ABB
Respeecher
Toptal
Bizerba
Thorvald
Advanced Farm
Searidge Technologies

See How We Help AI Teams

Reviews

"Fast and accurate labeling, with great communication"

"Their flexibility and ability to move fast impress us."

Label Your Data has successfully collected data from public sources, annotated missing skeletons, and validated pre-annotations for almost 15,000 images. Although their instructions are sometimes unclear, the team has received praise for their flexibility and speed. They also communicate via email.

"Although the task is unusual and difficult, their annotation quality is incredible."

Label Your Data has delivered high-quality data labels, which have received positive client feedback. Their team produces outputs on time and solves challenges without upselling. They also communicate effectively through virtual meetings.

“I'm impressed with how easy our communication with the team is and how simple and effective the processes are."

Label Your Data's support has been crucial in developing the client's computer vision perception algorithms. They lead a simple and effective collaboration by responding quickly to concerns and questions and delivering everything on time.

"The Label Your Data team was always available for questions."

Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client's portfolio. The team was consistently available for questions or updates that needed to be added to the data set. The client was impressed with the team's communication skills.

"Their flexibility and ability to work with multiple languages are impressive."

Label Your Data continues to work diligently for the client. They consistently provide training data for different document types and languages. Furthermore, they are excellent communicators and collaborators, and their ability to serve high-quality services is outstanding.

"They were always ready to work whenever we had projects."

After engaging with Label Your Data, the client has seen a reduction in error rate and success with model accuracy running on production. The team delivered on time and was communicative in their approach. The client was impressed with the steps Label Your Data took to ensure accurate QA testing.

Why Projects Choose Label Your Data

No Forced Commitment

No Forced Commitment

Check our performance based on a free trial

Flexible Pricing

Flexible Pricing

Pay per labeled object or per annotation hour

Tool-Agnostic

Tool-Agnostic

Working with every labeling tool, even your custom tools

Quality Backed by SLAs

Quality Backed by SLAs

We commit to accuracy and deadlines – or you don’t pay

Discover How We Can Help You

New tool

Self-Serve Platform

1

Upload data instantly with drag-and-drop.

2

Choose from multiple annotation types.

3

Download results with no minimum commitment.

4

Scale up for larger projects as needed.

Try for free

Meet the Team

Find out about the people behind this data annotation company

0 1 000
Teammates
0 16
Countries
0 3
Offices
Learn more

Karyna Naminas

CEO

Directed by Karyna Naminas, an experienced manager coming from the outsourcing business background. Under her management, the company has grown worldwide.

Karyna Naminas

Daria Leshchenko

Partner / Advisor

Founded by Daria Leshchenko, a member of Forbes Tech Council. With 15 years of experience in tech business, she has taught the company how to provide the highest quality service.

Daria Leshchenko

Estimate Your Costs line

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2 Select annotation method
3 Specify how many objects to label
4 Check the approximate total cost
5 Run free pilot
Pick Application Field
Select Annotation Method
Amount
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Estimated Cost
$ x objects
$
Select Annotation Method
Amount
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Estimated Cost
$ x entities
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For other use cases

send us your request to receive a custom calculation

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fill up this form to send your pilot request

Email is not valid.

Email is not valid

Phone is not valid

Some error text

Referrer domain is wrong

Thank you for contacting us!

Thank you for contacting us!

We'll get back to you shortly

TU Dublin Quotes

Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.

Quotes
TU Dublin
Kyle Hamilton

Kyle Hamilton

PhD Researcher at TU Dublin

Trusted by ML Professionals

Yale
Princeton University
KAUST
ABB
Respeecher
Toptal
Bizerba
Thorvald
Advanced Farm
Searidge Technologies

Featured Resources

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FAQs

How fast can you deliver annotated data?

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Turnaround depends on dataset size and complexity. Contact us for estimated delivery times based on your project needs.

Who will be labeling my data?

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Your data is labeled by a trained workforce, managed by experienced QA specialists to ensure accuracy and consistency.

How do I start a data annotation project with you?

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You can start in two ways:

Use our platform for computer vision tasks: Try it Free
Request a custom project if you need large-scale annotation, custom workflows, or managed teams: Talk to Sales

Send us your dataset and project details. We’ll review your requirements and start with a free pilot to ensure the right setup.

Can you handle large-scale annotation projects?

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Yes, we scale teams based on demand and have experience delivering millions of labeled data points for enterprise AI projects.

Do you support custom annotation workflows?

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Absolutely. We adapt to your project’s needs, integrating with your tools, formats, and workflow preferences.

What is the data annotation company about?

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A data annotation company, like Label Your Data, provides labeled datasets for training machine learning models. This includes adding tags, bounding boxes, transcriptions, and other metadata to raw data like images, text, audio, and video. This ensures AI systems can learn and make accurate predictions.