In this chapter, we are going to talk about how deep learning and convolutional neural networks (CNNs) can be adapted to solve semantic segmentation tasks in computer vision.
In a self- driving car (SDC), the vehicle must know exactly where another vehicle is on the road or where a person is crossing the road. Semantic segmentation helps make these identifications. Semantic segmentation with CNNs effectively means classifying each pixel in the image. Thus, the idea is to create a map of fully detectable object areas in the image. Basically, what we want is an output image in the slide where every pixel has a label associated with it.
For example, semantic segmentation will label all the cars in an image, as shown here:
The demand for understanding data has increased in the...
