Deep Learning for Text Detection (Part2)

Instance segmentation is the process of classifying each pixel in an image to one of N categories. Moreover, there also needs to be a distinction between pixels belonging to the same class but to different objects (we need to distinguish between a pixel belonging to person A and a pixel belonging to person B in the same image). Instance segmentation, just like object detection, is a general-purpose method that can be used for several tasks, not just text detection. In the following sections, we're going to look at some of the deep learning architectures that perform text detection using instance segmentation. Two famous instance segmentation techniques for text detection are based on Fully convolutional networks (FCN). FCN is an architecture that is based mainly on convolution layers and without the use of fully connected layers.