Intro to Computer Vision: Building Object Detection Models and Datasets

Join this hands on workshop to get started with Computer Vision & Object Detection.

Being able to classify and localize where an object is in an image is foundational to many computer vision applications.

In this workshop we'll cover:

• High Level Computer Vision Applications & Concepts
• How to label your own dataset for object detection & computer vision
• How to train your model using python & detectron2 (A PyTorch based modular object detection library)
• Run the model for object detection on images and video

How to prepare:

All setup can be done during the workshop, but this is what you'll need to do. Labeling images for computer vision is a very import step when creating your own model. We encourage you give it a try on your dataset before the workshop, but it's not required.

• A modern Web Browser (Like chrome)
• A Google account (Colab is a tool made by Google)

Who should attend:

Anyone interested in computer vision! This is designed to be approachable for most skill levels. Knowing some python programming will help, but it's not required.

We encourage anyone who is curious to attend and ask questions!

About the instructor:

Sage Elliott will be leading this workshop. He's passionate about making AI approachable for everyone and loves building things with technology.

About Plainsight Technologies: