Image Annotation in Machine Learning - Applications

Image Annotation in Machine Learning Applications

Table of Contents ● Introduction ● Applications of image annotation in machine learning

○ Recognition of human faces and gestures ○ Categorization of different objects ○ Segmentation of object in a single class ● Conclusion

Introduction

The computer vision-based models to help businesses uncover a unique set of opportunities have to be trained first, using properly annotated data sets and image annotation in machine learning plays an important role. Some of its applications are mentioned below.

Applications of Image Annotation in Machine Learning

Here are the 3 key advantages of engaging professional Image annotation services: ● Recognition of human faces and gestures ● Categorization of different objects ● Segmentation of objects in a single class

Recognition of Human Faces and Gestures

Image annotation in machine learning that helps the computer vision-based models to recognize the face and identify the person from the database. The security surveillance systems can therefore easily find them from the huge crowd.

Categorization of Different Objects

Classification of an object is another important aspect since an image can have multiple constituents from different categories that have to be identified.

Segmentation of Objects in a Single Class

Sometimes, a single frame has so many objects to be identified and these objects in the single class have to be segmented to make their position, attributes, category, etc. more clear.

Conclusion

Image annotation in machine learning enables organizations to discover new business prospects and stay ahead of the competitive curve. It finds its usage across industries like drones, robotics, healthcare, automotive, retail, etc.

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