Image annotation 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 data meets your specifications.

Image Tagging Services That The Staff We Hire Can Help With

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.

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Here are some of the services that they can help out with:

Image Data Collection

The professional image labelers that we recruit 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 data—both in-house and remotely.

Image Tagging

Looking for highly accurate data sets? We will connect you with photo labeling recruits capable of organizing and assigning 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.

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 the vehicles to detect lanes, traffic, signals, potholes, and so on. The highly-competent linguist experts, data professionals, and 2D bounding box annotation experts that we recruit will help render, identify, and create a distinction between different objects, making them applicable in real-life scenarios. 

3D Bounding Box Annotation

Our hiring managers will also help you source and recruit experts in training 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 will help recruit polygon annotation experts 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. 

Semantic Image Segmentation

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. With semantic image segmentation, our hiring managers will help you hire text annotation experts that will tag and classify millions of images, making it easier for your visual perception models to learn using accurate data sets. 

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 computer vision. We will connect you with image labeler/s that 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 image categories that are specific to your business to ensure your model attains the highest possible precision rate.

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 staffing agency will help recruit dedicated annotators to plot these lines, as well as annotate huge volumes of images, making your dataset accurate and usable for your self-driving ML model.     

Image Transcription

We will also help you recruit image labelers to 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.

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.

industries where image labeler is needed


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. 

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.


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.


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.


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.

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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:

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

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