Secure Data Annotation for CV and NLP
Machine Learning (ML) is setting a new milestone for the future of technology development. Data is the most vital resource for any AI-boosted application. Building on this idea, Label Your Data provides high-quality, secure, and flexible data annotation services.
In 2019, we started building dedicated data labeling teams and designing custom software. Today, we provide professional data annotation services for any industry, including Retail & E-commerce, Security, Fintech, Health Care, Real Estate, Autonomous Vehicles, Insurance, and Robotics.
We’re a growing company aiming to create state-of-the-art, reliable, and tech-driven data annotation solutions for businesses all over the world. The safety of client’s data is our priority. Our teams and facilities have passed both PCI DSS and ISO certification to ensure the security of client’s datasets. We are compliant with the industry security standards including GDPR, CCPA and HIPAA.
Core services:
- Computer Vision annotation (Sensor Fusion, Video Annotation & Object Tracking, Semantic Segmentation, 2D Boxes, 3D Cuboids, Polygons & Object Segmentation)
- NLP annotation (Text Classification, NER, Intent & Sentiment Analysis, OCR, Comparison, Audio-to-Text Transcription)
- Data classification & categorization
- Data entry
- Data collection
- Model validation
- KYC
About Label Your Data:
- Founded in 2019
- 300+ specialists
- 42 languages
- PCI/DSS 3.2.1 certification renewed annually
- ISO/IEC 27001:2013 annual certification
- GDPR, CCPA and HIPAA compliant
Focus
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Portfolio
Data Labeling
We believe that Deep Learning (DL) and Machine Learning (ML) are setting a new milestone for technology development for decades to come. The most vital resource for any AI-boosted application is high quality DATA (or datasets). Building on this idea, Label Your Data provides data annotation services by forming dedicated data labeling teams and designing custom software with enterprise-class security level.
Bounding box
We believe that Deep Learning (DL) and Machine Learning (ML) are setting a new milestone for technology development for decades to come. The most vital resource for any AI-boosted application is high quality DATA (or datasets). Building on this idea, Label Your Data provides data annotation services by forming dedicated data labeling teams and designing custom software with enterprise-class security level.
Data Annotation
We believe that Deep Learning (DL) and Machine Learning (ML) are setting a new milestone for technology development for decades to come. The most vital resource for any AI-boosted application is high quality DATA (or datasets). Building on this idea, Label Your Data provides data annotation services by forming dedicated data labeling teams and designing custom software with enterprise-class security level.
Reviews
the project
Data Labeling & Annotation for Outstaffing Agency
"Hiring them to perform data labeling and annotation was the right decision in terms of time and budget."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I'm the CEO of OutstaffYourTeam. We scale tech teams for Tech Companies with staff augmentation, smart outstaffing, back office.
For what projects/services did your company hire Label Your Data?
We had an ML project with a lot of data, so we needed someone to do labelling in a short period of time. This was necessary for our developers to be able to teach the model with the collected data.
How did you select this vendor and what were the deciding factors?
Our partners worked with LabelYourData before and we heard only positive feedback from them. We have found their account on LinkedIn and decided to contact them.
Describe the project in detail and walk through their service package.
We started our cooperation by having a meeting with the CEO who introduced us to the Account Manager. Having been acquainted with all the details, we met the team and instructed them in the task.
The team did the job in their own LYD tool and we received it from the manager when it was complete. It was clear from the very beginning that the guys are professionals in what they do. We did not have to chase them for the results, they met the deadlines and were able to deliver the desirable outcome.
The Account Manager had been maintaining effective communication through the whole process and sent us a detailed report afterwards.
How many resources from the vendor's team worked with you, and what were their positions?
We had a couple of calls with the CEO, Account Manager and their team.
Can you share any outcomes from the project that demonstrate progress or success?
Hiring them to perform data labeling and annotation was the right decision in terms of time and budget. After the work was done, we ran a few tests to make sure that the data was labeled correctly. To be honest, it was even better than we expected. This was a time saver for our developers, so it was definitely a successful cooperation.
How effective was the workflow between your team and theirs?
We had a couple of scheduled meetings, left comments in their tool, but mostly we communicated via email. We were getting updates regularly which let us to be in the loop. So we were happy that we didn't have to manage the process and could focus on our main tasks.
What did you find most impressive or unique about this company?
They have their own labelling and annotation software. We were able to see the team’s progress in real time. The management was responsive and caring. When we asked for more people in the team, they were able to fullfill this request straight away.
Are there any areas for improvement or something they could have done differently?
Can’t think of anything. It was a pleasure to work with them.
the project
Image Data Annotation for Medical Machine Solutions Company
"They were easy to understand and provided thorough descriptions of any issues we needed to resolve."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am the team lead for a research and development team working on new technologies for medical devices. Our company builds testing and measurement equipment for industrial and medical device applications.
For what projects/services did your company hire Label Your Data, and what were your goals?
We hired Label Your Data to annotate image data to train our machine learning algorithms - we are a small company and while we have had contract data annotators before, we were looking for an organization that we could leverage to scale our data collection and annotation efforts.
How did you select this vendor and what were the deciding factors?
We searched online and found a few options - we were won over by Label Your Data's responsiveness, flexibility (annotating our data requires specific training on the exact quality of labels we are looking for and using our custom in-house labelling tool), and the quality of the annotations - we were blown away by the quality of the annotated data and the speed at which the project was completed.
Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.
We had a pilot annotation project to evaluate their annotators abilities after providing training sessions and manuals and we were very impressed with the quality there. After that, we kicked off the full project and communicated over email frequently to ensure the data annotations met our needs. Compared to other vendors we've worked with before, they needed very little overhead for training and provided high quality annotations.
How many people from the vendor's team worked with you, and what were their positions?
A project manager/annotation reviewer was our main point of contact and he worked to manage the other annotators working on our project. Outside of that, we were in contact with the CEO and COO for the financial parts.
Can you share any measurable outcomes of the project or general feedback about the deliverables?
No but broadly speaking, the data annotations provided significantly improved the performance of our algorithms.
Describe their project management style, including communication tools and timeliness.
Email to coordinate and they were always timely despite the time difference. They were easy to understand and provided thorough descriptions of any issues we needed to resolve.
What did you find most impressive or unique about this company?
Incredible data annotation quality!!
Are there any areas for improvement or something they could have done differently?
Nope - they were a pleasure to work with and I would work with Label Your Data again in a heartbeat.
the project
Data Annotation Services for Automation Business
"Their flexibility and ability to work with multiple languages are impressive."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
At Hypatos we automate document processing of enterprises backoffices with deeplearning based automation technology. As VP Customer Success I am responsible for the Onboarding, Enablement and Training and Support of our customers.
For what projects/services did your company hire Label Your Data?
LYD was contracted with providing us the training data required for deep learning model training, namely the team provides annotations on training documents. LYD showed high quality and flexibility and convinvced us from day one with their high passion on delivering a great service. We currently evaluate futher possibilities to further involve them in our initiatives and projects.
How did you select this firm and what were the deciding factors?
We considered several BPO's and also worked with several BPOs over a few months. The price, quality, flexibility and good relation led us to decide to move all our outsourced activities to LYD.
Describe the project in detail and walk through their service package.
The LYD team is responsible to work in our data annotation solution and annotate documents such as invoices. The team is annotating 1000s of documents every month and is reporting on the progress on a weekly basis.
How many resources from the vendor's team worked with you, and what were their positions?
8 clerks and 1 project manager
Can you share any outcomes from the engagement that demonstrate progress or success?
The team is working on average 320h per week for us and is providing training data for many different document types and languages. Key to success is the communication, quality and their ability to work with multiple languages and the dedication and teamspriti of the team.
How effective was the workflow between your team and theirs?
We have a slack channel where we can continuously collaborate and communicate.
What did you find most impressive or unique about this company?
Their flexibility and ability to work with multiple languages are impressive.
Are there any areas for improvement or something they could have done differently?
Honestly nothing to improve.
the project
Text Classification & Sentiment Analysis for AI Startup
"The swiftness they responded with to our urgent requests was impressive."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am a Chief Scientific Officer of an AI startup leveraging tech for good. We assist Law Enforcement Agencies (LEAs) in fighting online crime in its many shapes and forms.
For what projects/services did your company hire Label Your Data?
Our speciality lies in creating convenient AI-based investigative tools to help gain vital intelligence on online harassment, violence, fraud detection, and many more. For that we require huge news’ and messages’ datasets annotated and labelled properly.
How did you select this firm and what were the deciding factors?
Multilingual, secure and knowledgeable — those were our criteria for selecting an annotation vendor. Label Your Data combines the three, that’s why we decided to go with them.
Describe the project in detail and walk through their service package.
The team assisted us with three projects since December 2020. The first one was connected to the upcoming elections where we needed them to gather a dataset with the related news and then label them as true, fake, or biased. Eventually, the annotators processed around 5000 news articles.
Our second inquiry had a limited timeframe: 1000 Arabic messages had to be annotated in just a few days. The team did it over the weekend, and we received the needed data on time. The third time, we asked them to annotate around 5000 news related to COVID-19 in Spanish, which was done well and in line with our requirements.
How many resources from the vendor's team worked with you, and what were their positions?
We remained in touch with the project manager the whole time. For each task, and depending on the language required, there were at least a couple of annotators involved.
Can you share any outcomes from the engagement that demonstrate progress or success?
With the assistance of Label Your Data, we successfully accomplished annotation goals for three of our projects.
How effective was the workflow between your team and theirs?
Our cooperation with Label Your Data started in December 2020. During all three projects, the annotation and labelling were done without a hitch, with constant feedback exchanges and always meeting the deadlines.
What did you find most impressive or unique about this company?
The swiftness they responded with to our urgent requests was impressive. Plus, their flexibility and a proactive approach.
Are there any areas for improvement or something they could have done differently?
Nothing much at this point.
the project
Data Annotation Services for Data Analysis Software Provider
"They’re willing to drop everything to fulfill our needs and keep us happy."
the reviewer
the review
A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.
Introduce your business and what you do there.
I’m the CTO of Raveler. We provide software for qualitative analysis of consumer reviews.
What challenge were you trying to address with Label Your Data?
We were trying to develop a new system based on some machine learning technology that required access to training data from human models.
What was the scope of their involvement?
Label Your Data provides data annotation services to us. We specifically asked them to use a data annotation too called Doccano. Their tasks started small with only 200–300 data units. I also gave them some examples of data that I had annotated.
They then assigned 2–3 of their staff on the task. Once they completed that task, the team checked in to verify if the data quality aligned with my expectations. Label Your Data has repeated that same process about 7–8 times now, and they continue to provide data annotation.
What is the team composition?
My main point of contact is Karyna (CEO). I also work with a project manager who takes my requirements and turn them into tasks. Finally, there are 2–3 annotators who I haven’t directly spoken to.
How did you come to work with Label Your Data?
I searched for data annotation services on Google and found 2–3 agencies. I reached out to all of them, but I liked Label Your Data’s work the most. They can also work with any annotation tool, which was a plus.
How much have you invested with them?
We’ve spent between $3,000–$10,000.
What is the status of this engagement?
The project started in May 2021 and is ongoing.
What evidence can you share that demonstrates the impact of the engagement?
In terms of data quality, about 90%–95% of the annotations have been precisely what I wanted. Label Your Data can turn around any task of any volume within the space of five working days. For example, they once delivered 3,000 annotations in five days, which was quite impressive.
How did Label Your Data perform from a project management standpoint?
Their project management is perfect — we can contact them at any time, and they deliver within our deadlines. Throughout the process, they’ve been highly professional. We used Slack and Zoom to communicate.
What did you find most impressive about them?
The partnership has been going really well. The team is professional and provides excellent value for money. I feel like Label Your Data truly prioritizes our project — they’re willing to drop everything to fulfill our needs and keep us happy.
Label Your Data’s help has enabled us to be quite flexible about our technical direction. Whenever we have new ideas, they help us turn them into real-world results in less than a week.
Are there any areas they could improve?
No, there’s nothing they could do better.
Do you have any advice for potential customers?
Be specific about how you want them to annotate your data. The more specific you are, the quicker they can produce accurate work.
the project
Data Annotation for Data Science Solutions Center
"Label Your Data makes it feel like they're our own company’s department."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
We are a Data Science company specializing in data-oriented recruiting, consulting, and creating AI R&D centers from scratch. In addition, we conduct corporate trainings in data science, visualization and offer customizable courses to cover specific needs of our clients.
For what projects/services did your company hire Label Your Data?
We needed a responsible partner to take on bounding boxes and semantic segmentation annotation for our project.
How did you select this firm and what were the deciding factors?
The way it usually happens now — we found them online. The pilot went pretty well, and they acted on our feedback almost immediately. We liked what we saw, that’s why our communication continued.
Describe the project in detail and walk through their service package.
The task was to label videos and images captured by the security cameras on the work and building platforms. After the training, the annotation process began. The team had their own annotation tool as well as QA procedures. In the beginning, we had a couple of notes regarding the labeled data, which were considered right away. Then all went quick and well.
How many resources from the vendor's team worked with you, and what were their positions?
The team consisted of ~5 annotators, and an Account Manager, with whom all the communication was conducted. We agreed on using one of the messengers, which made it convenient for both parties. Feedback exchange was easy, and, more importantly, the team took all our needs and remarks seriously.
Can you share any outcomes from the engagement that demonstrate progress or success?
With Label Your Data taking over annotation, our team made great advancements in the software development for our client. Afterward, we came back to Label Your Data with a few more image annotation tasks.
How effective was the workflow between your team and theirs?
Label Your Data makes it feel like they're our own company’s department. They’ve shown readiness to do more than asked, they were interested in good results, and them being open to our suggestions turned it into a nice cooperation.
What did you find most impressive or unique about this company?
Their data annotation security standards are definitely worth mentioning. And the way they handle misunderstandings — quick and professional.
Are there any areas for improvement or something they could have done differently?
Nothing comes to mind, actually. They’ve been pretty responsive and flexible.
the project
Data Annotation for IT Services Company
"They are flexible, dedicated, and their processes are well organized."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
I am a CEO of a computer vision and traffic data platform. We work with the AI-powered LiDAR technology to provide real-time analytics with the aim of making traffic safer for every citizen
For what projects/services did your company hire Label Your Data?
Being a young company, we were looking for a reliable partner with whom we could start small and then grow together. In addition, LiDAR data requires a lot of persistency and skill, so we needed someone dedicated. Label Your Data appeared to be a perfect match
What were your goals for this project?
The main goal was quality LiDAR data annotation with 2D boxes for our platform. We were looking for all our annotation requirements to be met
How did you select Label Your Data?
It all started with looking up companies providing annotation services. We reached out as their security standards and expertise appealed to us a lot. A flexible and involved long-term partner — that was the aim. Label Your Data keeps proving to be such
Describe the project in detail.
Our platform provides real-time traffic analytics using AI-powered sensors. The system helps define the speed and trajectory of every traffic participant. Annotation of sensor fusion data is more complicated than pictures and videos — it needs enormous attention to detail. Label Your Data covered that. They took every step of the integration with us.
What was the team composition?
A big team was not something we were planning on. At this point, it consists of 2 members, and we've been thinking about expanding it. Label Your Data was able to organize the workflow and communication in a way that we can track the progress at any moment
Can you share any outcomes from the project that demonstrate progress or success?
We can focus on enhancing the platform now. The annotation is taken care of, and no constant supervision over the team is needed. We receive the annotated data weekly and send our feedback
How effective was the workflow between your team and theirs?
The annotation was launched last year, in November. Label Your Data team found a tool that suits our needs for the LiDAR annotation, and even provided us with a free pilot. You can tell by their approach that they’ve got a clear understanding of our needs and goals
What did you find most impressive about this company?
They are flexible, dedicated, and their processes are well organized. We haven’t experienced any issues or miscommunication
Are there any areas for improvement?
Not that we noticed. Our collaboration has been pleasant and productive so far.
the project
Data Annotation for AI & ML Business Solutions Company
"They were always faster than the agreed deadlines."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
We are a tech company offering AI- and ML-based business solutions to help companies worldwide enter the new digital business era. I am an ML Engineer enhancing the infrastructure of our system.
For what projects/services did your company hire Label Your Data?
The main problem we were working on was vehicle damage detection
What were your goals for this project?
The goal was to find a long-term partner flexible enough to do different annotation tasks quick, well, and whenever we needed it.
How did you select Label Your Data?
We were looking into outsourcing annotation, an in-house team was not an option. As annotation types differed, we considered companies that were open to discussions and workflow modifications. The pilot with Label Your Data showed us that they were the right choice.
Describe the project in detail.
The main project was vehicle damage detection - i.e. finding and defining damages from a collection of photos of a damaged car. The photos might be close or long-shot, the damages can be on any of a number of car details, and there are several types of damages.
What was the team composition?
We spoke with a project manager from Label Your Data, who helped us flesh out our requirements. We know they had a team (I think of 6) data annotators, and a data engineer to aggregate/clean their labels.
Can you share any outcomes from the project that demonstrate progress or success?
With the data annotated and tested, we were able to improve our system. In addition, during one of our cooperations they did an extra round of QA for the batch annotated, and together we found a hitch in the model that misidentified some objects.
How effective was the workflow between your team and theirs?
Very effective, to be honest. Their responsiveness and the way they switched between tasks made it a great experience.
What did you find most impressive about this company?
The coordinated and smooth performance of the Label Your Data team.
Are there any areas for improvement?
I really can't think of anything.
the project
Data Validation Services for Mobile App Dev Company
"They are humble, serious about their work, and they care about the feelings of their clients."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
We are a mobile app development company with AI technology. I'm a senior researcher and development who is responsible for delivering high-quality machine learning models to support main features in mobile Apps.
For what projects/services did your company hire Label Your Data?
Label You Data helped us label a large number of images with our customized labeling tool. They also collected and recorded videos for us to build specific datasets.
What were your goals for this project?
Build several datasets with high-quality annotations for training machine learning models.
How did you select Label Your Data?
We communicated with several companies that provide similar services and worked on a pilot project with them to try out the services. The pilot project is a low-volume task but enough for us to make the judgment on which company is easier to work with. Finally, we like what Label Your Data provides most and selected them.
Describe the project in detail.
We have a Slack channel to communicate with them about our requirements. We sent them the data we have and provided our labeling tool, which is AI-assisted, and hopefully accelerate the process. They got the tool setup quickly without much help from us. Our requirements were a long list but they can digest quickly. In the beginning, we asked them to provide some initial labels for us to review and we keep enhancing the annotation quality through communication. The iteration is quick and effective. Their questions are short and precise. Once they fully understand what we want, we basically keep sending new data to them and they can get the tasks done within the expected time & budget we agreed on.
What was the team composition?
On our side it's just me talking to them with minimal bandwidth, providing guidelines/data/tools. I don't need to worry anything about how much resources are allocated in this project from Label Your Data. There's a main person I was talking to and she ensures everything is delivered under our requirements.
Can you share any outcomes from the project that demonstrate progress or success?
We finally built a big dataset with several machine learning use cases within 2 months, which is very helpful on boosting the accuracy of our machine learning models, and eventually benefits our users.
How effective was the workflow between your team and theirs?
The communication is very smooth and efficient. We don't need to have long meetings to resolve anything. Most things I provide to them are just several slides with requirements. They can provide short and precise questions to make the communication clear, which saved time for both of us. Their responses to our messages were pretty quick (within hours, and sometimes instantly).
What did you find most impressive about this company?
They are humble, serious about their work, and they care about the feelings of their clients.
Are there any areas for improvement?
There's still space to improve the labeling quality. Some reviewing process on the results will help them eliminate some obviously bad labels. Having said that, their current quality is totally acceptable.
the project
Data Annotation Services for Electric Vehicle Racing Team
"We’re very impressed with their eagerness to help and support us."
the reviewer
the review
The client submitted this review online.
Please describe your company and your position there.
We’re a team of students from the University of Bayreuth (Germany) engaged in the development of a racing vehicle project for participation in the annual Formula Student festival. I work on the business and engineering sides of the project. It’s my job to see that the vehicle is commercially viable while it can also win in the race.
For what projects/services did your company hire Label Your Data?
We needed an organization that could help us with the annotation work. We were looking for a company interested in sponsoring our project that also had the required level of knowledge and expertise in the annotation field. A young, ambitious start-up fit our goals perfectly.
What were your goals for this project?
This year, we will be participating in a driverless race. For this, we need to design an AI algorithm that requires annotated data to train correctly. We required help with the annotation task since we do not have the human resource capacity to do the job ourselves.
How did you select Label Your Data?
We conducted our research based on our goals and core values. We were looking for a partner who combined expertise with curiosity and openness to new ideas. In the Label Your Data team, we’ve found everything we needed: a lot of interest in our project, a high level of professional expertise, open-mindedness, and ambition.
When we learned more about how they do business at Label Your Data, we were pleasantly surprised by the scope of their work and their vast experience. Their particular interest in driverless vehicles matched well with our goals. So we reached out to Label Your Data CEO, Karyna to offer participation in our project.
Describe the project in detail.
To train our algorithm, we need 20.000 images to be annotated using bounding boxes and key points labeling. Moreover, the project is ongoing as we add more images as we train the model. This allows us to control how our model trains and to fill in the blind spots on the go. Due to this, while we’re not tightly restricted in time, the timely delivery of the annotations is of importance to us.
What was the team composition?
We have a comparatively small project, so we don’t require a team of annotators. We need a single labeler to work continuously on the new images we provide, as well as supervision and QA to ensure that the quality of labeling is superb.
Can you share any outcomes from the project that demonstrate progress or success?
For now, we’re still cooperating with Label Your Data, and we have only the good things to say about their labeling quality, security, and management. The team is very responsive and highly interested in our project. Whenever we need to contact them, they reply nearly instantly and are always friendly and eager to help. In addition, they offered to share our progress on their social media, which can be quite useful for us.
How effective was the workflow between your team and theirs?
The workflow is flawless. We can reach the annotator at any time we need. The same goes for the management. As our project goes on, it’s likely we will have an even more positive experience working with the Label Your Data team.
What did you find most impressive about this company?
We’re very impressed with their eagerness to help and support us. Besides, the communication is very pleasant and fast, and their security standards in data annotation can satisfy the pickiest of the clients.
Are there any areas for improvement?
Nothing comes to mind. We’d really like to work with them as a single team. We’d also be glad to see them during the racing events of 2021 :)
The data labeled and annotated by Label Your Data was even better than the client expected. Their team managed the whole process and helped the client save money and time, enabling them to focus on their main tasks. Moreover, they were responsive and provided the client with regular updates.