LabelMe provides comprehensive services for selecting, training, and integrating data labeling specialists into your company. The process is managed personally by LabelMe CEO George Kasparyants, using the experience he gained in developing his company.
If you find a cheaper way to label your data, we'll look into the pricing and make you a better offer. Or we'll explain why saving money can be fraught.
Special Offers
He will answer all your questions and keep you informed about the order progress.
Personal manager
Before starting work we sign a Non-Disclosure Agreement (NDA). After the project is completed and handed over, we delete all data from our servers.
Security
We work both with our own tools and with partner data labeling platforms. We instruct our performers before allowing them to work.
Any annotation tools
Any kind of labeled data goes through an additional validation stage. You won't have to look for errors - there won't be any.
Additional validation
We are developing a pipeline that can be easily scaled up, proportionally increasing the number of performers at each stage.
Speed
We'll prepare a test dataset for you to make sure of the quality, and we'll calculate the cost and performance speed.
Free demo
Data annotation for different industries
See examples of our data labeling
We have opened our own dataset library. You can download and use all the datasets presented absolutely free of charge. Didn't find what you were looking for? Fill out an application and we create a dataset especially for you.
Then we study your technical requirements, build a work plan and calculate the real cost of the project.
Test dataset preparation
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Individual commercial proposal, Non-Disclosure Agreement and legal guarantees. Performers sign an agreement prohibiting the disclosure of order details.
Signing the contract
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90% of customers come back to us for data labeling. Because we love our work and we do it well.
Becoming long-term partners
Reviews
Gradient
"LabelMe are real professionals. They collected the data in the right deadlines. Everything is at the highest level. We will definitely come back. Recommended them."
Egor Kolodin
CV engineer
NtechLab
LabelMe helped us perfectly with data collection for machine learning. Thank you for your cooperation, we wish you success!
Nadezhda Glebko
Head of Data Labeling
Flexer
"The guys from LabelMe quickly and properly completed the assigned tasks! They delivered us all the structured artifacts in an accessible way, and we got the result of the work in an easy-to-use format."
Evgeny Smykov
Chief technology officer
Food XRAY
Thank you for the opportunity to label data this way. It's very handy that you don't have to validate the result.
Roman Degtyarev
CV engineer
VizorLabs
We ordered BBox markup. The quality, timing, and price left us very satisfied. We'll definitely return for a new markup from LabelMe.
Mikhail Trofimov
Chief Operating Officer
Our team
"To train a high-quality AI-model, you need high-quality data. I have gathered all the solutions, knowledge and experience gained during my career into a single product - LabelMe".
George Kasparyants
CEO LabelMe
"It's a pleasure to receive clients' seemingly impossible tasks, and then to know from our specialists that we can do it.”
Max Yangurov
Sales Director LabelMe
"I can see weak points of the process. I use this knowledge to improve our business system, without causing damage its particular parts. Ideal improvement is cheap, effective and easy to use.”
Roman Fedorov
Product Manager LabelMe
"It's always easier to promote what you believe in. I believe that smart technology is our future, and LabelMe is part of it.”
Rustam Sobirov
Marketer LabelMe
"Knowledge is not the whole thing, we have to put it in use. Desire is not the whole thing, we have to take action.”
Alina Isaeva
Business Analyst at LabelMe
"Human resource is the overriding tool, especially when we talk about technologies. Machine learning and human nature are able and have to work in synergy to create a better future.”
Olga Savchenko
HR Brand Manager at LabelMe
"Our company's aim is to provide our partners with high-quality data which correspond to requirements specifications. We immediately react on issues during a project's accomplishment.”