Image Labeling Services

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.

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.

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. 

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. 

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.

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. 

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.

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.

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.

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.

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 .

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.

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.

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