[MUSIC] Computer vision algorithms are running on our phones, cars, and even our refrigerators. As cameras are added to more and more devices, the need for people with computer vision experience is growing rapidly. That's why math works created computer vision for engineering and science on coursera. In this three course specialization, you'll complete projects like, aligning satellite images, training models that identify road signs, and tracking objects, even as they move out of view. >> Sounds exciting. Let's see how you gain those skills. In course 1, you'll learn the fundamentals of computer vision. You'll apply a variety of algorithms, to extract useful features from images. These features are used in many applications, like image registration, classification, and tracking. By the end of course 1, you'll detect, extract, and match features to align, and stitch together images like these. In course 2 of the specialization, you'll use these images with popular machine learning algorithms, to train image classification and object detection models. However, training a model is only one part of the workflow. To achieve good results, you'll learn to properly prepare your images for machine learning, and evaluate the trained model on test images. Importantly, the skills you gain, also applied to deep learning, where feature extraction is done by the network during training. >> And speaking of deep learning, there are a growing number of models already available. In course 3, you'll import and use common deep learning models, like, YOLO, to perform object detection. Detecting objects is often the first step in a larger workflow, for example, detection is used with motion prediction, to differentiate, and track objects over time. At the end of the specialization, you'll apply tracking to count the number of cars going in each direction on a busy road. >> To be successful in these courses, it'll help to have some prior image processing experience. If you're brand new to working with image data, we recommend also enrolling in our image processing for engineering and science specialization on Coursera. Computer vision is an exciting, and growing field. The specialization will give you the skills to succeed in a world where images, and cameras, are more important than ever. [CROSSTALK] Let's get started.