Why Image Annotation is Important for Machine Learning in AI World?
Image annotation is the most important integral part of machine learning development. Actually, it is the process that helps the model learn from data and predict in the right way. And in visual perception based AI model, image annotation plays an important role in detecting the objects visible in the natural environment helping algorithms learn from object detection, recognition and segmentation.
In the present world, another importance of image annotation is making the objects recognizable to machines through computer vision. Actually, there are different types of objects and recognizing them is important to differentiate them from each other with precise classification at ground level. And semantic segmentation is the most suitable technique helps to classify the objects in a single class making easier for machines to differentiate between various types of objects.
