(Music) With Watson visual recognition, complex image classification has never been easier. Watson studio offers the most intuitive and powerful tools for analysts, data scientists, and developers to build intelligent applications quickly and with minimal code. You can train a Watson visual recognition service to identify objects from satellite, imagery, and aerial photography. To get started, simply drag and drop collections of image files. Watson studio will preprocess, format, and modify the images to build a robust model and prediction service. After adding your images, you can audit and modify the data interactively. In our task, we will teach Watson visual recognition to identify baseball diamonds, basketball and tennis courts, golf green, cars, and airplanes. With Watson studios, you can train a deep learning model to solve your problems without building a complicated and extensive deep learning league. Instead, you specify the challenge and Watson studio builds a solution with the click of a button. Resources for test governance and version control guarantee that your most effective up-to-date model is always available. The intuitive and interactive design allows you to test your predictions before you use your model and critical applications. All you need to do is specify a threshold, add some images, and observe the predictions that your Watson visual recognition service providers. Set aside some images for testing after we've trained the model. Let's drop them in the interface and see the predictions. Watson visual recognition can be easily optimized to take advantage of millions of images outside of the training set, providing a kind of memory that makes powerful model available without too much training data. Now, suppose you've trained your model and you are ready to embed visual recognition in your apps and services. Watson visual recognition provides read to go code snippets in such languages as Java, JavaScript, and Python. What's more is that Watson visual recognitions integration with Core ML means that you can enhance your iOS application with the power of machine learning using Watson studio. Your model is stored in your Watson studio project and is available to you at any time. Now, it's your turn to build your own visual recognition project with Watson. (Music)