Intro to Computer Vision: Building Object Detection Models and Datasets - Livestream

Join this hands-on workshop to get started with computer vision and object detection.

Build your own object detection model from start to finish. Includes step-by-step instructions on data annotation and model training with your own dataset.

Object classification and localization within 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 & video

What you’ll need:
- A modern web browser (like Chrome)
- A Google account (Colab is a tool made by Google)
- Sign up free for Sense Data Annotation (http://sixgill.tech/ai-powered-labeling)

Who should attend:
Anyone interested in computer vision! This workshop 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!

Register at weblink to receive connection information