Image the annotation platform plays a crucial role in computer vision, as it gives computers the ability to visually understand and interpret digital images, videos, audio, and texts. Computer vision technology helps actualize multiple groundbreaking AI and ML-driven applications like unmanned aerial vehicles, self-driving cars, and tumor detection. Without a  data annotator, however, it would be impossible to profile and label digital content, making it unrecognizable to AI and ML models and applications to make predictions.

Luckily for you, our company can help you build a dedicated team from scratch or scale your existing one. Collaborate with our professional, multilingual image labeling experts to ensure that your digital and data management all meets your specifications.

image annotation services

Common Types of Image Labeling Services:

Bounding Boxes

The objects are determined by digital rectangles. It is often used for car systems that identify the object on the road or for eCommerce algorithms that offer more precise search experiences for customers;

Polygon Annotation

Delivers automatic annotation of irregular objects with more precision than bounding boxes. It is more flexible and accurate. Polygon annotation is used in medical systems to identify organs and shapes or in aerial views and geographical maps ;

Image Classification

Means identifying a specific determined class of objects among others. For instance, a system can learn to classify various animals based on video data on such labeling process;

Image segmentation

Works with backgrounds and various objects on the pixel level. Each pixel of the image is assigned to a particular class or object for advanced precision and analysis;

Object detection

Allows finding, counting, and identifying every object on an image;

Pose estimation

Ensures a person or an object is identified in the relation to other items in an image. It is often used for augmented reality applications, robotics, or sport analysis solutions.

Image Tagging Services We Offer

Headquartered in Ukraine, our agency helps connect businesses around the world with high-quality and proficient image annotation for machine learning professionals. It’s our policy that all professionals hired by our recruitment managers be trained in the latest technologies to ensure they serve our clients in the most effective way possible. Here are some of the services that they can help out with:

Image Data Collection

Our professional image labelers utilize proprietary data collection technologies to collect data from diverse sources including images, video, audio, and text. They can also help build and manage customized tools needed to efficiently collect image labeling data—both in-house and remotely.

Image Tagging

Looking for highly accurate data sets? Our photo labeling services help to organize and assign specific key tags to your images, making them easily recognizable by your AI and ML systems. Along with that, they can also assist in creating a clean and structured catalog of images, as well as store them securely for future reference.


Semantic segmentation annotation is used to train computer vision artificial intelligence and ML models by profiling individual pixels in an image into a predefined set of object classes. Using semantic image segmentation services our text annotation experts will tag and classify millions of images, making it easier for your visual perception models to learn using accurate data sets.

3D Bounding Box Annotation

Our data labeling experts train computer vision models with annotated 3D objects using 2D images and videos. 3D cuboid annotation makes it easier to detect the precise dimensions of different objects such as indoor objects, vehicles on the road, movement of passengers, and even robotics training in various industries. 

Polygon Annotation

When dealing with regular shapes, the easiest and most ideal option to use is bounding boxes. But when it comes to irregular shapes, they fall short. Worse still, when dealing with real-world environments, it’s almost impossible to find a perfectly regular shape. 

Our agency can help with polygon annotation needs to assist in plotting points on vertices and tagging pixels of the target objects to describe them. This makes it easier for your AI and ML models to identify and define human postures, road signs, sidewalks, and much more. 

Line & Polyline Annotation

Self-driving cars’ computer vision models need to accurately detect the length of a drivable area and any lines therein. Line annotations are particularly important in helping autonomous vehicles detect lanes accurately, resulting in smooth traffic flow between pedestrians, cyclists, and all other road users. 

Our dedicated annotators’ team can help to plot these lines, as well as annotate huge volumes of images generating datasets, making your dataset accurate and usable for your self-driving ML model.

2D Bounding Boxes

Bounding box annotation is mostly used to create training data for ML and AI models. In autonomous vehicles, for example, bounding box annotated images can be used to train vehicles to detect lanes, traffic, signals, potholes, and so on. Our highly competent linguist experts, data professionals, and 2D bounding box annotation experts will help render, identify, and create a distinction between different objects, making them applicable in real-life scenarios. 

Keypoint and Landmark Annotation

Annotation of facial landmarks/keypoints facilitates the detection of non-identical-sized faces in computer vision-based artificial intelligence models. It also works great in training AI and ML models to detect, internalize, and understand human postures using various computer vision tasks. Our image labeler experts are proficient in pinpointing specific focal points on the target object, making it easier to track these points and draw comparisons with each other.

Image Categorization & Classification

The images and videos you use to train, validate, and test your visual perception algorithms can significantly affect the success of your AI and ML project. Every individual image in the dataset must be accurately and thoughtfully labeled to ensure that your system can recognize particular objects, just the way a human does. For this reason, you need to ensure that the quality of your annotations is unmatched, as it will ultimately determine how well your model performs. 

We will utilize our huge talent pool to connect you with machine learning image classification experts that use a combination of image processing tools to identify and define the best image and categories that are specific to your business to ensure your model attains the highest possible precision rate.

Image Transcription

Our professional image labelers can assist in raw image data conversion, hard copies conversion into any format, and file format conversion. Along with that, they can easily help in image quality rendering, document imaging, raw image to RGB formatting, and PDF to TIFF conversion.

get in touch with us to learn more about setting up dedicated teams of data labelers

3 Models of Cooperation We Offer

When it comes to image annotation, the approach you choose can significantly impact your project’s success. Delve into our three distinct cooperation models, each designed to cater to different needs and ensure optimal results for your image annotation endeavors.

Customized Image Annotation Solution

Tailor our services to fit your unique project requirements. This flexible model is designed for those with specific needs, ensuring you get precisely what you’re looking for without the overhead of additional resources.

Flexible Part-time Image Annotation Support

Engage a part-time image annotator dedicated to your project. This setup is ideal for businesses with budgetary considerations, as you only cover the hourly costs without committing to a full-time salary.

Dedicated Full-time Image Annotator

For projects demanding consistent attention and expertise, this option ensures you have a full-time professional focused solely on your image annotation needs. You’ll be billed a monthly salary, effectively integrating a dedicated specialist into your team.

How Your Project Can Benefit From Image Labeling Service

Machine learning powers up advanced solutions in various industries from robotics and medical imaging to autonomous vehicles and innovative security systems. Image labeling service is what lies behind the development of such solutions. It is an essential part of training data platform for such projects as behind any system’s precision and functionality is the properly analyzed sets of data.

Image annotation ensures proper metadata for any type of digital image so that the system can process it correctly. It is very common for companies to outsource image annotation as it is a tedious and time-consuming process. Professional image labelers can quickly and effectively annotate images for AI and ML so that a computer would see as a human eye would.

After the tagging is completed, the data set is used to train the system to work with similar images when there is no labeled data present. Overall, professional image labeling outsourcing ensures a correct set of data for supervised learning of such advanced facial recognition systems and algorithms. Without such training, the system will not be able to correctly identify specific objects and function according to the protocols.

The benefits of image tagging outsourcing to experts include:

data labeler for hire in ukraine remote
Ability to work with professionals that know exactly how to approach a specific request

Image annotation requires a specific set of skills and competencies to be done right. Often the case, businesses do not have such expertise in-house. That’s why they decide to outsource image labeling to experts that have deep knowledge of the processes and use innovative tools to do it fast and correctly.

Faster development and release of the project.

Whether you are interested in 2d bounding box annotation for agriculture or polygon annotation outsourcing for the automotive industry, a partnership with a credible provider gives you a competitive edge. While you are working on the core of the business, the provider focuses on data annotation, which ensures faster release time .

Focus on the core of your business.

Image annotation tool might be very time-consuming depending on the project scope and the amount of data presented. So dragging internal resources to it is not always reasonable. Instead, by delegating this project to a third-party provider, you can focus on the core of your business and daily operations. This way the internal team can concentrate on boosting processes, increasing productivity, and improving customer satisfaction.

Improvement of computer vision solution’s accuracy

Precision and accuracy are the baselines of functionality for such algorithms and systems. If an object is incorrectly identified by a computer it might result in incorrect behavior. This is specifically important for security or autonomous systems. To effectively train a system, you need a large set of annotated and properly labeled examples. The more examples you provide to the system, the more advanced it becomes in recognition and classification.

Opportunity to get a proper data set of annotated imagery for your specific ML or AI solution

Machine learning relies upon image annotation so without an expert approach, the integrity of the project is at risk.

Industries Where Image Annotation Services and Image Labelers Are in Big Demand

Today, machine learning and artificial intelligence have permeated virtually every industry you could think of. Whether it’s finance, healthcare, retail, manufacturing, or even entertainment, these groundbreaking technologies have been utilized to automate operations, cut costs, and boost revenue. Unsurprisingly, a survey conducted by BusinessWire in 2020 showed that up to 98.8% of Fortune 1000 firms are investing in AI, ML, and Big Data initiatives. In this section, we are going to explore industries that are the biggest consumers of photo annotation services.


Autonomous vehicles are no longer something that we used to see in science fiction movies. With that said, however, one of the major reasons why there’s a delay in mainstreaming autonomous vehicles is the safety concerns among the public. To be confidently deployed, the ML algorithms behind autonomous vehicles need to be tweaked to the minute details to eliminate any errors. And for this to happen, the manufacturers need to use highly accurate training data, which is why the transportation industry is one of the largest consumers of high-quality image annotation. 


Agriculture is easily the oldest industry in human history. However, the concept of precision agriculture is relatively new to us, and it primarily entails combining traditional farming techniques with technology to boost productivity, sustainability, and profitability. Today, farmers are training computer vision systems to predict yields, optimize soil conditions, determine plant health, and so much more. Indeed, image annotation is the backbone of precision farming, letting ML algorithms identify specific cues and make adjustments accordingly. It shouldn’t come as a surprise that agriculture is yet another biggest consumer of this technology.

Voice and Speech Recognition

Today, there are millions of connected, voice-activated devices, all of which need to be trained using large-scale speech datasets to ensure they accurately and safely perform. Voice-recognition cars, for example, use cameras and LiDAR to identify users’ words and intent, and image annotation helps them to respond accordingly.


Today, the fashion industry is using semantic image segmentation to train AI models to distinguish different types of clothing items. With the help of annotation tools, it becomes easier to assign a specific color to the pixels that make up each clothing item in an image and assign it to a particular class i.e trousers, shirts, dresses, shoes, and so on. Ultimately, these annotated training images let clothing manufacturers create virtual wardrobes for users to try via their computer screens.


Healthcare is yet another industry where labeling photos is widely used. Healthcare professionals use visual data from modes of imaging including MRI, x-ray scans, CT, and many other medical imaging sources to diagnose and treat various ailments. As soon as a patient suffering from a particular disease is scanned, the curated data need to be interpreted by a medical professional, which creates a fertile ground for computer vision. In this case, image annotation is used to train CV models to pinpoint any recurring patterns or specific features like tumors, hairline fractures, abscesses, and so much more. Ultimately, this leads to improved accuracy in diagnosing diseases, prescribing treatments, eliminating backlogs, and reducing patient wait times.

Why Choose Our Company as Your Image Annotation Outsourcing Partner?

When outsourcing image labeling, you need to find a reliable partner. Whilst there are many staffing agencies out there, here are five reasons why you should consider working with us:

Experienced Photo Labeling Experts

We will connect you with skilled and experienced image annotators capable of making your images recognizable for computer vision and machine learning. Their exposure to different dashboards and technologies also enables them to handle high-volume data sets and multi-user annotation with exceptional accuracy and efficiency.

Scalable Workforce

Our location, huge pool of talent, and robust referral system allow us to build even the largest dedicated image annotation teams quickly without affecting the quality of the final results. Better yet, can scale up or down the size of your team, meaning you pay for what you get.

Accuracy Culture

Whether actively or passively looking for a job, all image annotators within our network are continually trained on different double-pass techniques to ensure they deliver high-accuracy output.

How We Hire Image Annotation for Machine Learning Professionals

Getting started with your own dedicated image annotation team is as simple as can be. But that’s not the best part; You can start by hiring a single image labeller and scale up as your hiring needs change. 

Here’s how a quick run-down of how our hiring process plays out:

  • Book time with us to explain your annotation needs and business culture;
  • The selection of image annotators will begin by reviewing their resumes and sending them for your consideration;
  • We will arrange for you to conduct interviews via Zoom, Skype, or video conferencing tool of choice;
  • Formalize everything by signing a Service Level Agreement;
  • The new hires will start working in collaboration with the existing team.

Find and Hire a Dedicated Image Annotator with Relevant Experience Below

Explore our platform to discover and onboard a skilled image annotator with relevant experience who can meet your specific requirements. Hire a dedicated professional who specializes in image annotation, ensuring accurate and efficient annotation services for your projects.

Object Detection, 3D Segmentation, Anomaly detection 

Healthcare Annotation, Patient Data Analysis

Images Annotation, Text Tagging, LIDARs

Video Annotation, 3D Point Cloud Annotation, Speech Recognition

Object Detection, Anomaly Detection, Yield Estimation

Daria – Experienced Remote Data Labeler

Object Detection, 3D Segmentation, Face Retouching 

Bounding Boxes, Plygon Annotation, Key-Point Annotation

3D Object Tracking, 3d Data Analysis

Text Tagging, Semantic Segmentation, Image Annotation

Image Segmentation, Object Detecting

Medical Annotation, Radiology, Computed Tomography and Ai for Medical Imaging

Object Detection, Anomaly Detection

Image Annotation, Visual Data Processing for ML applprojects

Data Processing, Data Categorization, CVAT Annotation

Image Annotation, Video Annotation, Audio Annotation, Text Semantic Analysis

Image Labeling, Text Annotation, Categorization, Qulity Assurance

Image Annotation, Video Annotation, Audio Annotation

Bounding Boxes, Object Detection, 3D Segmentation

Data Augmentation, Image Processing

Maxim – VGG Image Annotator

VGG Image Annotation, Semantic segmentation, Polylines, Cloud Points

LIDAR Data Annotation, Point Cloud Annotation

Bounding Boxes, Polygons, Polylines

Image Annotation, VGG Image Annotation

Bounding Boxes, Plygon Annotation, Key-Point Annotation

Bounding Boxes, Polygons, Semantic Segmentation, Polylines, Cloud Points

Image Annotation, Visual Data Processing for ML application

Polygons, Semantic Segmentation, Polylines, Image Segmentation

Object Detection, Anomaly Detection, Predictive Maintenance

Contact us today and hire a dedicated image labeler in Ukraine!