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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

Trusted by ML Professionals

Data Annotation for Academia

Outsource data annotation of complex scholarly data and save time for academic research.

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Trusted by 10+ Universities

Yale University
Carnegie Mellon University
Miami University
George Washington University
King Abdullah University of Science and Technology
Yale University
Carnegie Mellon University
Miami University
George Washington University
King Abdullah University of Science and Technology
Yale University
Carnegie Mellon University
Miami University
George Washington University
King Abdullah University of Science and Technology
Yale University
Carnegie Mellon University
Miami University
George Washington University
King Abdullah University of Science and Technology

Use Cases for

Academic Data Scientists

Academic Data Scientists

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Require large volumes of annotated data quickly for model development

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Need specialized annotation services for complex or unique data types

Research Lab Managers

Research Lab Managers

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Need to streamline annotation across multiple projects

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Outsource annotation to manage budgets without hiring extra staff

Professors & PI

Professors & PI

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Need scalable annotation for large, grant-funded projects

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Require high-quality data for research integrity and publication

Graduates & PhDs

Graduates & PhDs

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Need annotated data to save time on research

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Require expert annotation of niche data for academic publications

Discuss your challenges

Annotation Solutions for Academic Research

Linguistic Annotation

Linguistic Annotation

Scientific Data Annotation

Scientific Data Annotation

Audio-to-Text Transcription

Audio-to-Text Transcription

Sentiment Analysis

Sentiment Analysis

Geospatial Annotation

Geospatial Annotation

Optical Character Recognition (OCR)

Optical Character Recognition (OCR)

Model Validation

Model Validation

An example of linguistic annotation for language processing
An example of linguistic annotation for language understanding
Language processing Language processing
Language understanding Language understanding

Access accurately annotated datasets to advance your language research.

An example of scientific data annotation for genomics
An example of scientific data annotation for drug discovery
An example of scientific data annotation for medical imaging
An example of scientific data annotation for machine learning
Genomics Genomics
Drug discovery Drug discovery
Medical imaging Medical imaging
Machine Learning Machine Learning

Ensure your DNA input sequence is valid and verify the accuracy of database matching results for precise annotation.

Validate drug data and annotate molecular targets, mechanisms, and clinical phases for precise discovery insights.

Label medical imaging data like X-ray, MRI scans, and CT images with precision and efficiency.

When youʼre developing a custom model or using it for the object of your research.

An example of audio-to-text annotation for linguistics
An example of audio-to-text annotation for sociology
An example of audio-to-text annotation for cultural analysis
Linguistics Linguistics
Sociology Sociology
Cultural analysis Cultural analysis

Transform audio into precise transcriptions for your research needs.

An example of sentiment analysis for public opinion
An example of sentiment analysis for attitude analysis
An example of sentiment analysis for behavioral research
Public opinion Public opinion
Attitude analysis Attitude analysis
Behavioral research Behavioral research

Uncover insights into opinions and behaviors with labeled data.

An example of geospatial annotation for spatial analysis
An example of geospatial annotation for location-based research
Spatial analysis Spatial analysis
Location-based research Location-based research

Enhance location-based research with annotated spatial data.

An example of OCR for historical texts
An example of OCR annotation for archival research
Historical texts Historical texts
Archival research Archival research

Enhance location-based research with annotated spatial data.

An example of edge case annotation for model validation

An example of a panoptic segmentation in data labeling

Linguistic Annotation

Linguistic Annotation

svg
An example of linguistic annotation for language processing
An example of linguistic annotation for language understanding
Language processing Language processing
Language understanding Language understanding

Access accurately annotated datasets to advance your language research.

Scientific Data Annotation

Scientific Data Annotation

svg
An example of scientific data annotation for genomics
An example of scientific data annotation for drug discovery
An example of scientific data annotation for medical imaging
An example of scientific data annotation for machine learning
Genomics Genomics
Drug discovery Drug discovery
Medical imaging Medical imaging
Machine Learning Machine Learning

Ensure your DNA input sequence is valid and verify the accuracy of database matching results for precise annotation.

Validate drug data and annotate molecular targets, mechanisms, and clinical phases for precise discovery insights.

Label medical imaging data like X-ray, MRI scans, and CT images with precision and efficiency.

When youʼre developing a custom model or using it for the object of your research.

Audio-to-Text Transcription

Audio-to-Text Transcription

svg
An example of audio-to-text annotation for linguistics
An example of audio-to-text annotation for sociology
An example of audio-to-text annotation for cultural analysis
Linguistics Linguistics
Sociology Sociology
Cultural analysis Cultural analysis

Transform audio into precise transcriptions for your research needs.

Sentiment Analysis

Sentiment Analysis

svg
An example of sentiment analysis for public opinion
An example of sentiment analysis for attitude analysis
An example of sentiment analysis for behavioral research
Public opinion Public opinion
Attitude analysis Attitude analysis
Behavioral research Behavioral research

Uncover insights into opinions and behaviors with labeled data.

Geospatial Annotation

Geospatial Annotation

svg
An example of geospatial annotation for spatial analysis
An example of geospatial annotation for location-based research
Spatial analysis Spatial analysis
Location-based research Location-based research

Enhance location-based research with annotated spatial data.

Optical Character Recognition (OCR)

Optical Character Recognition (OCR)

svg
An example of OCR for historical texts
An example of OCR annotation for archival research
Historical texts Historical texts
Archival research Archival research

Enhance location-based research with annotated spatial data.

Model Validation

Model Validation

svg
An example of edge case annotation for model validation

An example of a panoptic segmentation in data labeling

How It Works

Step 1

Free Pilot

Submit your dataset for a free annotation and see our quality in action.

Step 2

QA

Review the pilot results to confirm they meet your expectations and research needs.

Step 3

Proposal

Receive a tailored proposal designed to fit your project goals and budget.

Step 4

Start Annotation

Our expert team begins annotating your data to ensure precision.

Step 5

Delivery

Get your annotated datasets on time to keep your AI research on track.

Calculate Your Cost
Estimates line

1 Pick application field
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
0 1M
Estimated Cost
$ x objects
$
Select Annotation Method
Amount
0 1M
Estimated Cost
$ x entities
$
tab-other

For other use cases

send us your request to receive a custom calculation

RUN FREE PILOT

Send your sample data to get the precise cost FREE

Reviews

What Our Clients Say

Stars "Working with Label Your Data has been a truly positive experience"

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

Stars "We were impressed by the labeled data quality as well."

Label Your Data makes significant progress toward the goal of enhancing the client’s algorithm performance. The team works quickly to deliver annotations and annotators with extensive experience in the field. Their project management is straightforward, making for a smooth engagement.

Stars "They’re willing to drop everything to fulfill our needs and keep us happy."

Demonstrating a profound dedication to the project, Label Your Data consistently provides near-perfect deliverables at a cost-effective price. Thanks to their help, the client has been able to be more flexible with their work. Their impressive turnaround time further enhances the solid partnership.

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

LYD showed high quality and flexibility and convinced us from day one with their high passion for delivering a great service. We currently evaluate further possibilities to further involve them in our initiatives and projects.

Stars “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.

Stars "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.

Stars "They are flexible, dedicated, and their processes are well organized."

Label Your Data sends out weekly data annotation for the client to review. So far, the platform hasn’t had any issues and they are focusing on enhancing the platform since it was launched in November 2020. Their expertise shows productive results as the project progresses.

Why Projects Choose Label Your Data

No Commitment

No 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 annotation tool, even your custom tools

Data Compliance

Data Compliance

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Start Free Pilot

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

Trusted by ML Professionals

FAQs

Do I need to commit to a long-term contract?

Not at all. We offer 3 flexible pricing options:

Short term for one-off projects like academic research
On-demand for seasonal projects when you need additional workforce
Long term for a streamlined data annotation workflow

What is your pricing?

We calculate according to how much time is spent on your object annotation. That’s why the pilot project is also valuable for us – we get to calculate the expenses

When can I start the free pilot?

As soon as we clarify details on your dataset. You’ll get a reply within this or the next work day.

Do you work with our labeling tools?

Absolutely! We’re flexible with any tools you want us to work in.

How can I trust you with my confidential data?

We earned several data compliance certificates to prove our dedication to data security:

PCI DSS Level 1
ISO:27001
GDPR
CCPA

After we sign the NDA, we make sure to anonymize your data for our employees to prevent any data leaks.

How can we support academic grants for research and AI development?

Label Your Data can support academic grants for AI research by offering high-quality data annotation services for academics that facilitate the training and improvement of ML algorithms, aiding academic students in achieving their objectives.

What are the key applications and benefits of data annotation for science?

Data annotation for educational institutions and science involves labeling, categorizing, and enhancing scientific datasets to improve machine learning models, enhance research, and gain valuable insights from data in various scientific domains.

How can data annotation services for the education industry be leveraged to enhance AI and ML researches within this industry?

Data annotation services for academics can be leveraged to enhance AI and ML researches by creating labeled datasets used to develop advanced algorithms and improve educational outcomes. Annotations can also be used for diverse student-driven AI & ML projects, allowing students to explore AI applications and contribute to innovative solutions across various domains.

RUN FREE PILOT