Data Annotation services made easier

Annotate data quickly and earn money with Data Annotation Platform.
Data Annotation specialist

Data Annotation is time-consuming but worth the trouble

You might have heard the saying that quality data is the new oil. There’s so much value hidden in images, sound, video, and text. All you need to do is tap it.

Data Annotation implemented in Machine Learning mobile app

CarLens - recognize and collect your favourite cars

Use Machine Learning to detect different car models

CarLens is a mobile application for both iOS and Android that lets you recognize cars you find on the street. It uses Augmented Reality and an AI-based solution to detect cars you see through the smartphone camera.

While creating CarLens, we created a custom software for data annotation where we’ve leveraged mobile solutions and created a simple app.

Our experience with CarLens taught us that solving Machine Learning problems is not easy. The data annotation is a crucial issue behind a model’s accuracy. We’ve learned how important a quality data set is and how important is also the way you manage it. That's our key to success.
Jackowski Krzysztof

Krzysztof Jackowski

Mobile Deputy Engineering Manager, Netguru

Make your data meaningful - the process of data labeling and classification

The process of annotation is most dependably done by human beings. It might sound low-tech, but it’s not that easy. Several steps need to be followed with precision and focus.
  • Sign

    Collect your data

    Choose the type of data that suits your purposes, and collect as much as you need.

  • Structure

    Define classes

    Define the categories for the classification of your data. In the case of Carlens, we used car models.

  • Graphics-tablet

    Describe each class

    Write up the characteristics for each class and create a rule book. Your annotators will need it when they run into less obvious cases.

  • Illustration

    Begin annotation

    Get to work! If you have a lot of data, you’ll need a team of annotators. Manual data annotation takes time.

What kind of data you can annotate?

In our multi-channel reality, one type of data might not be enough. Consider what data sets can do the most for your business. You can annotate all of the major data types on our platform, on various classification levels.
  • Real-estate


    We offer binary and multiple choice photo sets, giving you extra flexibility.

  • Media


    Labeling video data can be a challenge. We want to make it easy for your annotators.

  • Speak


    Annotate sound files based on type, author, the genre of music - and much more.

  • Translation


    Text data can be the basis for language learning projects, but it’s not limited to that use.

Schedule a free expert session

The right process is the key advantage

Whether you need to craft the idea for a completely new machine learning product or evaluate the quality of an existing data science project, you need the right process.

Data Annotation workflow focuses on three stages:

How we work?

  1. Data labelling and classification doesn’t need to be a chore. Our platform is user-friendly and easy to learn.

  2. Use high quality annotated data when building your machine learning algorithms.

  3. Take your business to the next level with machine learning. This is only the beginning.

World-class specialists at your disposal

Our developers are open source contributors with more than 220 repositories on GitHub. We constantly invest in developing new technologies and testing various solutions in our R&D department, sharing our experience both on expert blogs and at various tech conferences such as IGARSS, AAIA and MICCAI.

Our partners about the cooperation with Netguru

  • My experience working with Netguru has been excellent. Outstanding software teams are resilient, and our developers at Netguru have certainly proven to be that. Our Netguru friends have become as close to team members as possible, and I am grateful for the care and excellence they have provided.
    Gerardo Bonilla

    Gerardo Bonilla

    Product Manager at Moonfare
  • Netguru has been the best agency we've worked with so far. Your team understands Kelle and is able to design new skills, features, and interactions within our model, with a great focus on speed to market.
    Adi Pavlovic Keller Williams

    Adi Pavlovic

    Director of Innovation at KW
  • Working with Netguru has been a fantastic experience. We received a lot of support in terms of thinking about how we track metrics, how we design this properly, and how we build the architecture. We are extremely grateful for making our platform what it is today.

    Manon Roux

    Founder at Countr

Netguru in numbers

  • 12+

    Years on the market

  • 700+

    People on Board

  • 900+

    Projects Delivered

  • 67

    Our Current NPS Score

Delivered by Netguru

We are actively boosting our international footprint across various industries such as banking, healthcare, real estate, e-commerce, travel, and more. We deliver products to such brands as solarisBank, IKEA, PAYBACK, DAMAC, Volkswagen, Babbel, Santander, Keller Williams, and Hive.
  • Self-care mobile app that lets users practice gratitude


    $5M Granted in funding

  • Investment platform that enable to invest in private equity funds


    $28M Granted in funding

  • Data-driven SME lending platform provider


    $20M Granted in funding

  • Lead generation tool that helps travelers to make bookings


    $47M Granted in funding

Curious whether Netguru is the right fit for your project?

We understand that every project is different and requires an individual approach. That is why we offer a free consulting session with an experienced data annotation developer. During the session, you will have a chance to find out what mobile solutions are the right fit for your project and how working with Netguru may look like.

Schedule a free expert session with a Machine Learning Engineering Manager

Pawel Jarmolkowicz

Pawel Jarmołkowicz

Machine Learning Engineering Manager

Business-oriented leader and manager with over 15 years of experience. Selected as one of the MIT Innovators Under 35.

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