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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

Image Labeling Services

Get pixel-perfect image annotation with custom outputs and smooth cloud data transfer.

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

Use Cases for

ML Engineers

ML Engineers

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Training models for image detection and classification

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Facing delays in image labeling for project development

Dataset Business

Dataset Business

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Supplying labeled image datasets for commercial use

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Requiring fast and precise image labeling to meet buyer needs

AI-Powered Business

AI-Powered Business

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Using ML models for image processing, recognition, or quality control

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Struggling with large volumes of unlabeled images

Academic Researchers

Academic Researchers

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Preparing labeled datasets for publications and research projects

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Limited time and resources for manual labeling

Discuss your challenges

Check Your Image Labeling Needs

Rectangles

Rectangles

Polygons

Polygons

Cuboids

Cuboids

Keypoints

Keypoints

Semantic segmentation

Semantic segmentation

Instance segmentation

Instance segmentation

Panoptic segmentation

Panoptic segmentation

An example of object detection depicted as a bird in a rectangle labeling
An example of a labeled facial recognition image, where the face is in the rectangle
An example of a labeled vehicle detection image, where the bus is in the rectangle
An example of a labeled product identification image, where the product is in the rectangle
Object detection Object detection
Facial recognition Facial recognition
Vehicle detection Vehicle detection
Product identification Product identification

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

An example of a labeled autonomous driving image, where the car and traffic lights are labeled using polygons.
An example of a labeled satellite imagery, where the landfill is labeled using polygons.
An example of a labeled medical imaging, where the heart is labeled using polygons
Autonomous driving Autonomous driving
Satellite imagery Satellite imagery
Medical imagery Medical imagery

Making detailed shapes when accuracy is critical.

An example of a labeled autonomous vehicles image, where the cars are labeled using cuboids.
An example of a labeled robotics image, where the warehouse boxes are labeled using cuboids.
An example of a labeled spatial mapping image, where the room is labeled using grid and cuboids.
Autonomous vehicles Autonomous vehicles
Robotics Robotics
Spatial mapping Spatial mapping

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

An example of a labeled facial landmark image, where the face is labeled using keypoints.
An example of a human pose estimation, where the person’s body is labeled using keypoints.
An example of a labeled emotion image, where the face is labeled using keypoints.
An example of a labeled hand gesture image, where the hands are labeled using keypoints.
Facial landmarks Facial landmarks
Human pose estimation Human pose estimation
Emotion recognition Emotion recognition
Hand gesture tracking Hand gesture tracking

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

An example of a labeled road segmentation image, where the road is processed via semantic segmentation
An example of a labeled medical imaging  where it is processed via semantic segmentation
An example of a labeled land use classification, where the landfill is processed via semantic segmentation
Road segmentation Road segmentation
Medical imaging Medical imaging
Land use classification Land use classification

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

An example of labeled crowd analysis image, where it is processed via instance segmentation
An example of 5 labeled apple images to learn the model how to count, where it is processed via instance segmentation
Crowd analysis Crowd analysis
Counting objects Counting objects

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

An example of a panoptic segmentation in data annotation

An example of a panoptic segmentation in data labeling

Rectangles

Rectangles

svg
An example of object detection depicted as a bird in a rectangle labeling
An example of a labeled facial recognition image, where the face is in the rectangle
An example of a labeled vehicle detection image, where the bus is in the rectangle
An example of a labeled product identification image, where the product is in the rectangle
Object detection Object detection
Facial recognition Facial recognition
Vehicle detection Vehicle detection
Product identification Product identification

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

Polygons

Polygons

svg
An example of a labeled autonomous driving image, where the car and traffic lights are labeled using polygons.
An example of a labeled satellite imagery, where the landfill is labeled using polygons.
An example of a labeled medical imaging, where the heart is labeled using polygons
Autonomous driving Autonomous driving
Satellite imagery Satellite imagery
Medical imagery Medical imagery

Making detailed shapes when accuracy is critical.

Cuboids

Cuboids

svg
An example of a labeled autonomous vehicles image, where the cars are labeled using cuboids.
An example of a labeled robotics image, where the warehouse boxes are labeled using cuboids.
An example of a labeled spatial mapping image, where the room is labeled using grid and cuboids.
Autonomous vehicles Autonomous vehicles
Robotics Robotics
Spatial mapping Spatial mapping

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

Keypoints

Keypoints

svg
An example of a labeled facial landmark image, where the face is labeled using keypoints.
An example of a human pose estimation, where the person’s body is labeled using keypoints.
An example of a labeled emotion image, where the face is labeled using keypoints.
An example of a labeled hand gesture image, where the hands are labeled using keypoints.
Facial landmarks Facial landmarks
Human pose estimation Human pose estimation
Emotion recognition Emotion recognition
Hand gesture tracking Hand gesture tracking

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

Semantic segmentation

Semantic segmentation

svg
An example of a labeled road segmentation image, where the road is processed via semantic segmentation
An example of a labeled medical imaging  where it is processed via semantic segmentation
An example of a labeled land use classification, where the landfill is processed via semantic segmentation
Road segmentation Road segmentation
Medical imaging Medical imaging
Land use classification Land use classification

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

Instance segmentation

Instance segmentation

svg
An example of labeled crowd analysis image, where it is processed via instance segmentation
An example of 5 labeled apple images to learn the model how to count, where it is processed via instance segmentation
Crowd analysis Crowd analysis
Counting objects Counting objects

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

Panoptic segmentation

Panoptic segmentation

svg
An example of a panoptic segmentation in data annotation

An example of a panoptic segmentation in data labeling

How It Works

Step 1

Free Pilot

Send your image dataset for free labeling and test our services with no commitment.

Step 2

QA

Review the pilot results to ensure they meet your labeling accuracy and budget goals.

Step 3

Proposal

Receive a personalized proposal tailored to your image labeling requirements.

Step 4

Start Labeling

Begin the image labeling process with our team to accelerate your ML project.

Step 5

Delivery

Receive your labeled images on time, keeping your project on track 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

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 image labeling?

Image annotation is the process of labeling or marking specific objects within an image to make them recognizable for machine learning models. At Label Your Data, this process is conducted with pixel-level accuracy, ensuring that every detail is captured.

Our expert team focuses on delivering precise annotations, offering full transparency throughout the process by providing clients complete access to our tool.

What is the best tool to label images?

The best tool to label images depends on your specific requirements, but at Label Your Data, we provide an intuitive, high-performance platform that allows clients full access to manage and oversee their annotation projects.

Our tool is designed for pixel-level accuracy, offers customizable output formats, and integrates seamlessly with cloud storage solutions like API and S3, making it a top choice for image labeling.

What is the best annotation company?

The best annotation company is one that combines precision, customization, and transparency in its services. Label Your Data stands out as a top image labeling service provider. They deliver pixel-perfect annotations, offer flexible output formats, and ensure full client access to our tools for complete quality control. With a commitment to security and cloud integration, their team provides a streamlined and reliable image annotation experience.

RUN FREE PILOT