Image Annotation in Machine Learning - Applications

1. Image Annotation in Machine Learning Applications

2. 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

3. 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.

4. 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

5. 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.

6. 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.

7. 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.

8. 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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