Intro to Computer Vision: Building Object Detection Models and Datasets

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


TICKETS

https://www.eventbrite.com/e/intro-to-computer-vision-building-object-detection-models-and-datasets-tickets-205189636727

DETAILS

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.

The event is supported by AICamp (Enable every developer to learn and practice AI/ML/Data technology from anywhere at any time).

In this workshop we’ll cover:

  1. High level computer vision applications & concepts
  2. How to label your own dataset for object detection & computer vision
  3. How to train your model using a Faster R-CNN in python & detectron2 (a PyTorch based modular object detection library)
  4. Run the model for object detection on images & video

What you’ll need:

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!

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. Connect with Sage on LinkedIn: https://www.linkedin.com/in/sageelliott/

The event is finished.

Date

Nov 30 2021
Expired!

Time

8:30 pm - 10:30 pm

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