Deep Learning for Text Detection (Part1)

Object detection is a field in deep learning that is applied in several computer vision tasks, including text detection. There are mainly two types of object detection models: one-stage detectors and two-stages detectors. Some famous examples of one-stage detectors are SSD (Single Shot Multibox Detectors) and YOLO (You Only Look Once). These object detection models are very similar in the way they work. First, they take an image as input; then this image is passed through a set of convolutional layers. These layers are usually part of a larger network that was pre-trained on a large dataset of images.