computer vision explained in five minutes hi everybody if you're looking to start your career as a computer vision professional from scratch then you are in the right place computer vision or cv is a branch of computer science that empowers machines to see recognize and process images just like humans computer vision is in fact a multi-disciplinary field it could be called a subfield of artificial intelligence ai and machine learning ml computer vision makes use of general learning algorithms and may require the use of specialized methods this diagram shows the relationship between artificial intelligence and computer vision being a multi-disciplinary field of study can seem messy for a beginner the reason for this is some techniques are borrowed and reused from an assortment of engineering and computer science fields understanding the content of digital images is the main objective of computer vision this might seem easy but it's not so because computers are not the same as humans they don't have the gift of vision and perception while seeing and perceiving the world around them comes naturally to humans that's not the case with computers [Music] how do computer vision algorithms work the computer vision algorithms used today are based on pattern recognition they typically rely on convolutional neural networks or cnns computers are first trained on an enormous amount of visual data in this step computers process images and label the various objects on them they also find patterns in those objects for instance if we send a million images of cats the computer will first analyze all the images it will then identify patterns that are similar to all cats and at the end of the whole process create a model cat as a result the computer can accurately detect whether or not a particular image is a cat each time we send it pictures the unprecedented growth of computer vision images dominate the internet today they are everywhere social media ecommerce stores travel sites and more but along with an enormous amount of visual data over 3 billion images are shared every day we also have easy access to the computing power needed to analyze this data computer vision is a booming field due to the latest advancements in this field it's true that the field of computer vision has grown exponentially in the last few years alone new hardware and advanced algorithms have ensured that the accuracy rates for object identification are high in less than a decade the improvement in the accuracy percentage has been phenomenal it's gone up from 50 percent to 99 making today's systems more accurate than humans it's an accepted fact that computers react much more quickly than humans to visual inputs the applications of computer vision the earliest experiments in computer vision began in the 1950s computer vision was however first put to commercial use only in the 1970s to differentiate typed text from handwritten text but today computer vision is a reliable and mature technology that generates huge cost savings and saves time from defect detection to intruder detection mask detection to tumor detection crop monitoring to plant monitoring vehicle classification to traffic flow analysis and from customer tracking to theft detection the applications of computer vision are truly varied computer vision is used extensively in the following fields retail and manufacturing transportation insurance media agriculture health care sports banking augmented reality and mixed reality home security and content management and analysis the most popular computer vision applications include object classification recognizing the broad category of an object in a photograph object identification identifying the type of object in a photograph object detection detecting the location of an object in a photograph object verification verifying the presence of an object in a photograph object landmark detection detecting the key points for an object in a photograph object segmentation segmenting the pixels that belong to an object in an image and object recognition recognizing the objects in a photograph and pinpointing their location your path to computer vision mastery we have an in-depth course on the ai sciences platform that covers computer vision we also have a short course on computer vision for beginners name of the course computer vision theory and projects in python for beginners 18 sections you'll learn the core concepts of the computer vision field in this course the important elements of this course are the two hands-on projects in the concluding section change detection in cctv cameras and smart dvrs name of the second course mastering computer vision theory and projects in python 323 lessons in this in-depth course you'll learn to master the basic concepts of computer vision first next you'll move onward to advanced concepts if you're interested in learning more about becoming a computer vision professional then be sure to check out our courses at the first link in the description subscribe and turn on notifications so you don't miss more videos helping you to start your data science and ai career and more check out this playlist of our data science and computer vision lessons and see you in the next video take care [Music] you