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Geberit Quotes

After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.

Quotes
Geberit
Maxime Debarbat

Maxime Debarbat

Senior ML Engineer (GenAI)

Trusted by ML Professionals

Ouster
Searidge Technologies
Zendar
Advanced Farm
ABB
Toptal
UiPath
Respeecher
Yale
Thorvald

Text Labeling Services

Label text and documents in 55+ languages for computer vision and NLP tasks.

RUN FREE PILOT

Trusted by 200+ Customers

ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX

Use Cases for

ML Engineers

ML Engineers

Training models for NER, sentiment analysis, document classification

Training models for NER, sentiment analysis, document classification

Facing delays in text labeling, slowing down project timelines

Facing delays in text labeling, slowing down project timelines

Dataset Business

Dataset Business

Supplying labeled text datasets for commercial use

Supplying labeled text datasets for commercial use

Need fast and accurate labeling to meet customer demand

Need fast and accurate labeling to meet customer demand

AI-Powered Business

AI-Powered Business

Using ML models for text analysis, document processing, and customer insights

Using ML models for text analysis, document processing, and customer insights

Struggling to manage large volumes of raw text data

Struggling to manage large volumes of raw text data

Academic Researchers

Academic Researchers

Preparing labeled datasets for research and peer-reviewed publications

Preparing labeled datasets for research and peer-reviewed publications

Limited time and resources for manual labeling tasks

Limited time and resources for manual labeling tasks

Discuss your challenges

Check Your Text Labeling Needs

An example of a labeled text classification for detecting spam
An example of a labeled text classification for grouping news categories
An example of a labeled text classification for detecting and analyzing user intent
Spam Detection Spam Detection
Topic Classification for News Topic Classification for News
Intent Detection Intent Detection
An example of a labeled name entity recognition for extracting names and locations
An example of a labeled name entity recognition for processing medical & legal documents
An example of a labeled name entity recognition for detecting brand mentions
Extracting Names and Locations Extracting Names and Locations
Medical & Legal Document Processing Medical & Legal Document Processing
Brand Mention Detection Brand Mention Detection
An example of labeling social media data for sentiment analysis
An example of labeling customer feedback for sentiment analysis
Social Media Monitoring Social Media Monitoring
Customer Feedback Analysis Customer Feedback Analysis
An example of labeling text for plagiarism detection
An example of labeling text for duplicate content detection
An example of labeling text for comparing legal documents
Plagiarism Detection Plagiarism Detection
Duplicate Content Detection Duplicate Content Detection
Legal Document Comparison Legal Document Comparison
An example of a labeled text classification for detecting spam
An example of a labeled text classification for grouping news categories
An example of a labeled text classification for detecting and analyzing user intent
Spam Detection Spam Detection
Topic Classification for News Topic Classification for News
Intent Detection Intent Detection
An example of a labeled name entity recognition for extracting names and locations
An example of a labeled name entity recognition for processing medical & legal documents
An example of a labeled name entity recognition for detecting brand mentions
Extracting Names and Locations Extracting Names and Locations
Medical & Legal Document Processing Medical & Legal Document Processing
Brand Mention Detection Brand Mention Detection
An example of labeling social media data for sentiment analysis
An example of labeling customer feedback for sentiment analysis
Social Media Monitoring Social Media Monitoring
Customer Feedback Analysis Customer Feedback Analysis
An example of labeling text for plagiarism detection
An example of labeling text for duplicate content detection
An example of labeling text for comparing legal documents
Plagiarism Detection Plagiarism Detection
Duplicate Content Detection Duplicate Content Detection
Legal Document Comparison Legal Document Comparison

How It Works

Step 1

Free Pilot

Send in your text dataset for a free labeling trial and see how our service works, risk-free.

Step 2

QA

Evaluate the trial results to ensure they meet your quality requirements and cost expectations.

Step 3

Proposal

Get a tailored proposal based on your unique text labeling needs and project scope.

Step 4

Start Labeling

Launch the text labeling process with our dedicated team to accelerate your project.

Step 5

Delivery

Receive your labeled dataset promptly, keeping your project on time and within budget.

Calculate Your Cost
Estimates line

1 Select labeling method
2 Specify how many objects to process
3 Check the approximate total cost
4 Run free pilot
Select Labeling Method
Amount
0 1M
Estimated Cost
$ x entities
$
RUN FREE PILOT

Send your sample data to get the precise cost FREE

Reviews

What Our Clients Say

"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 AI Teams Choose Label Your Data

Data Annotation for Complex Environments

Data Annotation for Complex Environments

Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.

Structured Quality from Pilot to Production

Structured Quality from Pilot to Production

Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.

Flexible and Scalable Operations

Flexible and Scalable Operations

Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.

An Integrated Delivery Partner

An Integrated Delivery Partner

Align on goals, workflows, and expectations with a team that integrates into your process from day one.

Projects Led by Annotation Experts

Projects Led by Annotation Experts

Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.

Request a pilot

Tell us more about your project and data

Email is not valid.

Email is not valid

Company name 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

Geberit Quotes

After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.

Quotes
Geberit
Maxime Debarbat

Maxime Debarbat

Senior ML Engineer (GenAI)

Trusted by ML Professionals

Ouster
Searidge Technologies
Zendar
Advanced Farm
ABB
Toptal
UiPath
Respeecher
Yale
Thorvald

FAQs

What is text labelling?

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Text labeling is the process of tagging parts of text, like words or phrases, to make them understandable for machine learning models. This can include identifying entities (like names or locations), classifying sentiment, or organizing documents into categories.

How much does a bounding box cost?

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Prices for bounding boxes can vary depending on the complexity of the project. You can check out more details on our pricing models at Label Your Data or use our cost calculator to get an estimate tailored to your needs.

What are text annotation services?

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Text annotation services involve labeling text data to help train machine learning models. This could mean tagging entities, labeling sentiments, or organizing data for tasks like translation or summarization. It’s an essential step for building accurate NLP models.

RUN FREE PILOT