Data Annotation

We create everything that your enterprise needs from training data to working with unstructured text, images and videos for machine learning.

Data Annotation as a service

Improve Your Machine-learning Products with high quality and human-annotated data Identify every object with our Image Annotation Services to check the dimensions from pixel to Pixel for annotating every image correctly. Our Image Annotation Services having precise algorithm and technologies to get better results and highest accuracy. Webtunix is a data labeling service provider specialized for building Computer Vision applications that always require high quality of image annotation technology and image annotations data for deep learning services.


Growth in output


Reduction in downtime for corrective actions


Enhancement in operational efficiency
information technology

Why Image annotations Services are Important?

If we talk about Building a Artificial intelligence application using machine learning techniques, then first question arises in mind called Dataset. If your data is structured, clean and Labelled based, the your application will work perfect. Data annotation basically is the process of labelling the data. This data can be in any of the following forms like – images, text, audio, and video. It is well known that machine learning requires a huge amount of data samples to perform actions according to humans and act accordingly.

At Webtunix AI, we have dedicated resources that can fulfil your data annotation requirements for a range of data types be it images, text, voice or videos.

How we do it?

At Webtunix AI, we are a passionate and result driven team that aims at quality service and customer satisfaction. We help in creating not only a voluminous amount of dataset but also a high-quality dataset that helps in building machine learning algorithms simulating a human brain.

These are the type of questions that data annotation focuses on. Digital systems have provided us with answers for a long time. Machines have the ability to read and understand the images. But this requires a lot of programming to recognize the content of images. Artificial intelligence and computer vision technology helps in creating algorithms that can easily identify objects in the images and train them.

Machines also Needs Training

A machine also needs to be trained so that they can identify the objects in the images according to the principles of artificial intelligence. The prerequisite of the training is large number of training data that is in the form of images. These images are first annotated by human beings and these images act as training data for the machines. Machines can identify the objects in the images accurately if they are trained with a huge amount of data.

Image Annotation Tools

The various annotation methods depends on the complexity of the visual templates. Clearly defined objects can be easily marked one dimensionally. While other non linear objects can be marked visible with bounding boxes. This can be done with the help of coloured frames to mark the people or the traffic signals. The next step is cubes. These three dimensional frames can be used to capture the special structure of objects. Therefore, it can be inferred that more exact the image annotation method is, higher is the computation cost. The three dimensional markings can be used in advanced applications like self driving cars and drones.