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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

Video Labeling Services

Label your video datasets with certified security and a free pilot offer.

RUN FREE PILOT

Trusted by 100+ 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

Who We Serve

ML Engineers

ML Engineers

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Building video-based ML models for action detection or object tracking

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Facing delays with in-house data labeling

Dataset Providers

Dataset Providers

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Selling labeled video datasets

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Need fast, accurate video labeling to meet demand

AI-Powered Business

AI-Powered Business

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Using ML for video analysis or surveillance

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Struggling with large volumes of raw footage

Academic Researchers

Academic Researchers

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Requiring labeled video datasets for studies

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Have limited time for complex labeling tasks

Discuss your challenges

Check Your Video Labeling Needs

Rectangles

Rectangles

Polygons

Polygons

Cuboids

Cuboids

Keypoints

Keypoints

Semantic segmentation

Semantic segmentation

Instance segmentation

Instance segmentation

Panoptic segmentation

Panoptic segmentation

Localizing and classifying objects quickly, works for well-defined objects.

Making detailed shapes when accuracy is critical.

Working with 3D objects and environment to label data in three dimesions.

Tracking fine details such as facial features, skeletal structures, or joint positions.

Making precise pixel-level classification when it is important, but individual object distinction is not needed.

Segmenting when you need to differentiate between individual objects that belong to the same category.

Segmenting when you need both pixel-level classification and individual instance differentiation in complex scenes.

Rectangles

Rectangles

svg

Localizing and classifying objects quickly, works for well-defined objects.

Polygons

Polygons

svg

Making detailed shapes when accuracy is critical.

Cuboids

Cuboids

svg

Working with 3D objects and environment to label data in three dimesions.

Keypoints

Keypoints

svg

Tracking fine details such as facial features, skeletal structures, or joint positions.

Semantic segmentation

Semantic segmentation

svg

Making precise pixel-level classification when it is important, but individual object distinction is not needed.

Instance segmentation

Instance segmentation

svg

Segmenting when you need to differentiate between individual objects that belong to the same category.

Panoptic segmentation

Panoptic segmentation

svg

Segmenting when you need both pixel-level classification and individual instance differentiation in complex scenes.

How It Works

Step 1

Free Pilot

Send your video dataset for free labeling and assess our services risk-free.

Step 2

QA

Assess the pilot results to confirm they align with your quality standards and budget.

Step 3

Proposal

Receive a customized proposal for your specific video labeling needs.

Step 4

Start Labeling

Begin the video labeling process with our skilled global team.

Step 5

Delivery

Get your labeled videos delivered on time, ensuring your ML project stays on track.

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

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 labeling hour

Tool-Agnostic

Tool-Agnostic

Working with every labeling tool, even your custom tools

Data Compliance

Data Compliance

Work with a data-certified vendor: PCI DSS Level 1, ISO:2700, GDPR, CCPA

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.

What is video labelling?

Video labeling is the process of tagging objects, people, or actions within a video, frame by frame. This helps ML models learn to recognize and track things, like identifying cars in traffic or detecting activities in security footage.

How to annotate video data?

Before starting, our team is trained on the project instructions and software. Then, we label targeted elements—like objects or actions—throughout the video, frame by frame. This includes drawing boxes, tagging actions, or marking key points to ensure accuracy and consistency for the machine learning model.

RUN FREE PILOT