Image annotation is the process of annotating an image with labels. These are predetermined and labeled by an AI engineer and are given to the computer vision model to process the information about what is shown in the image. Highly precise and quality training data is a significant prerequisite for a successful Artificial Intelligence / Machine Learning model.
The labeling process in image annotation varies depending upon the type of project. Some image annotation project requires only one label for an entire image which is known as image classification. Other projects might require tagging multiple objects within a single image with different labels.
Image annotation works start with three basic things namely images, a human to annotate the image, and a highly professional platform to annotate. At Axximum, we use world-class platforms to annotate images.
To achieve the cent percent accuracy in the image annotation process highly trained annotators are needed to perform these tasks. These annotators are thoroughly trained and follow the guidelines that comply with the project scope. Our annotation systems are highly equipped with good quality software that helps the annotators to achieve precision and quality in a short span of time. Our tools provide features to annotate the single image, multi-frame images or videos, which can be annotated as a stream or frame by frame.
At Axximum, we perform 7 types of image annotation process are as follows:
Precision is everything when it comes to managing data annotations. Machine learning is tedious and requires precise & quality data.
Certified with SOC 2 TYPE 1, we maintain latest industry standards in terms of data security while working for our clients & ensuring privacy.
Automating our processes & utilising skilled professionals to deliver results on time no matter how large, a complete scalable solution.