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? Watson Machine Learning. 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? Apple’s Core ML, TensorFlow.js, and TensorFlow Lite.

In this session, you will learn how to build an app that lets you use your own custom-trained models to detect objects.

By the end of this workshop attendees should be able to:

- Label data that can be used for object detection

- Use your custom data to train a model using Watson Machine Learning

This workshop is for both beginners and experienced developers, makers, tech enthusiasts, entrepreneurs, and anyone who is interested in object detection

Get a head start with IBM Cloud, sign up via: https://ibm.biz/BdqFbV

Nick Bourdakos (@bourdakos1) is a Developer Advocate @IBM and the creator of Cloud Annotations. He enjoys teaching people about Computer Vision.

Pooja Mistry (@poojamakes) is a developer advocate for IBM Cloud. She works on expanding the reach of IBM's technology to New York City's developer community. Her area of interest includes prototyping with NodeRED and working with AI services to build fun and interesting things! Prior to living in NYC, Pooja lived in Boston, MA where she was working as an API automation engineer in the healthcare tech industry. She mainly works in Javascript and Java, however she tinkers with Python. She is a strong believer in helping new technologist get up and running with technology and feel confident in their abilities to make!

Create a real-time object detection app using Machine Learning