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? 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? Apples Core ML, TensorFlow.js, & TensorFlow Lite.|
In this workshop, you will learn how to build an app that lets you use your own custom-trained models to detect objects. Youll create an IBM Cloud Object Storage instance to store your labeled data, then after your data is ready, youll learn how to start a Watson Machine Learning instance to train your own custom model on top-of-the-line GPUs. After your model has completed training, you can plug the model into your application.
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
- Detect objects with Core ML
**Please bring your Meetup RSVP Confirmation & ID to check-in**
630pm - doors open, check-in, & get some food
645pm - round-robin introductions & get to know each other
7-8pm - hands-on workshop
8-830pm - additional working time
845pm - venue closes
Who is this event for?
This workshop is for both beginners & experienced developers, makers, tech enthusiasts, entrepreneurs, & anyone who is interested in object detection
Get a head start with IBM Cloud, sign up via: https://ibm.biz/Bdzg7y
About the Presenter