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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 Platform

Upload your computer vision data, choose the annotation type, and
download the results with no minimum commitment

GET STARTED

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

Solve Your Challenges

AI Project Managers

AI Project Managers

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Difficulty coordinating annotators with tools

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Lack of real-time tracking and scalable tools

ML Engineers

ML Engineers

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Working with supervised learning projects

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Challenges integrating with existing ML pipelines

AI Startups

AI Startups

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Limited budget with a need for on-demand annotations

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Rapidly increasing volume of unprocessed data

Research Teams

Research Teams

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Professors and students working on the computer vision research

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R&D teams testing their ML workflow for an unreleased product

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Data Annotation Types Supported

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.

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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.

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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.

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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.

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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.

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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.

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An example of a panoptic segmentation in data annotation

An example of a panoptic segmentation in data labeling

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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.

SIGN UP
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.

SIGN UP
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.

SIGN UP
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.

SIGN UP
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.

SIGN UP
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.

SIGN UP
Panoptic segmentation

Panoptic segmentation

svg
An example of a panoptic segmentation in data annotation

An example of a panoptic segmentation in data labeling

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Features

Explore The Platform

Seamless Execution Seamless Execution
Cost Calculator Cost Calculator
Instruction Generator Instruction Generator
Free Task Free Task
API Access API Access
Team Access Team Access
Label Your Data platform: uploading dataset

Seamless Execution

Simply upload your data and download the results; no endless steps to start.

Label Your Data platform: cost calculator

Cost Calculator

Estimate how much your project will cost before getting started.

Label Your Data platform: instruction generator

Instruction Generator

Create clear guidelines for annotators using our pre-made template.

Label Your Data platform: free pilot task

Free Task

Test the platform with a no-cost trial for 10 images/frames.

Label Your Data platform: API access

API Access

Integrate seamlessly with your existing tools for data upload and download.

Label Your Data platform: team access

Team Access

Collaborate easily with team-based permissions and management.

How It Works

Create your annotation project setup
Step 1

Create your annotation project setup

Run a free task to test the setup
Step 2

Run a free task to test the setup

Upload the remaining data
Step 3

Upload the remaining data

Track your project’s progress
Step 4

Track your project’s progress

Download your completed annotations
Step 5

Download your completed annotations

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Reviews

What Our Clients Say

Clutch Clutch ClutG2 Crowdch ClutG2 Crowdch
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 “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.

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. The client was impressed with the team’s communication skills. 

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 2024. 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 task

Budget-Friendly

Budget-Friendly

Process datasets of all sizes, starting at $100

Plug & Play

Plug & Play

Focus on your work, while we coordinate annotators and tools

Data-Compliant

Data-Compliant

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

Join Our Happy 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

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FAQs

What is a data annotation platform?

A data annotation platform is a solution that allows you to label and categorize data for machine learning models. At Label Your Data, our end-to-end platform enables you to manage your entire annotation project from a single dashboard. You can easily upload datasets, choose from a variety of annotation types, and download the results without any minimum commitment.

Can I test the platform before committing to a full project?

Yes, Label Your Data offers a free pilot. You can run a no-cost trial on 10 frames to test our platform and evaluate the quality of annotations before making any long-term commitments.

Which tool is used for data annotation?

Various tools are used for data annotation, depending on project requirements. At Label Your Data, our platform provides an API that allows seamless integration with your existing tools for data upload, annotation, and download. This means you can automate parts of your workflow, ensuring efficiency and consistency.

What is dataset annotation?

Dataset annotation refers to the process of labeling data so that machine learning algorithms can interpret it. At Label Your Data, you can upload your dataset to our platform, define the annotation type, and our system will handle the labeling process with no hassle. After the data is annotated, you can monitor the project’s progress and download the results directly from the platform.

How do I estimate the cost of my data annotation project?

At Label Your Data, you can easily estimate your project’s cost using our built-in Cost Calculator. This feature allows you to input the specifics of your annotation task, such as the data type and the amount of data, to get an accurate project estimate before getting started.