Whether you are counting cars on a road or people who are stranded on rooftops in a natural disaster, there are plenty of use cases for object detection. Often times, pre-trained object detection models do not suit your needs & you need to create your own custom models. How can you use machine learning to train your own custom model without substantive computing power & time? How can you use your custom-trained model to detect objects, in real time, with complete user privacy, all on a device with limited computing power? In this workshop, you will learn how to build an app that lets you use your own custom-trained models to detect objects.

Whether you are counting cars on a road or people who are stranded on rooftops in a natural disaster, there are plenty of use cases for object detection. Often times, pre-trained object detection models do not suit your needs and you need to create your own custom models. How can you use machine learning to train your own custom model without substantive computing power and time? How can you use your custom-trained model to detect objects, in real time, with complete user privacy, all on a device with limited computing power? In this code pattern, you'll build an iOS, Android, or web app (or all three) that lets you use your own custom-trained models to detect objects.

IBM developer Nicholas Bourdakos recently created a new Code Pattern that lets just about anyone develop and train an AI model to recognize objects using computer vision. Bourdakos' Code Pattern, called "Create a real-time object detection app using Watson Machine Learning," relies on a tool called Cloud Annotations. It's basically a blueprint for training an AI model to recognize whatever objects you train it on, with a tool that makes labeling your data dead simple. I saw someone doing emoji classification and I thought it would be a cool project to work on with Cloud Annotations and real-time object detection. Using Cloud Annotations and the Code Pattern is relatively simple. In this code pattern, you'll build an iOS app that lets you use your own custom-trained models to detect objects.