Images are everywhere in research and industry, and the ability to automatically classify or detect objects within them is an increasingly valuable skill. This hands-on workshop walks participants through the full pipeline: from collecting and annotating images, to training a model, to deploying it in a Python script. Using Roboflow as the primary platform, attendees will gain practical experience with modern, accessible tools that lower the barrier to entry for computer vision tasks.

Who should attend
This workshop is designed for beginner to intermediate Python users who want to get started with computer vision. 

Learning outcomes

  • Understand the key concepts behind deep learning, image classification, and object detection.
  • Annotate and prepare an image dataset with the help of foundational models.
  • Learn the basics of training, evaluating, and testing models.
  • Hands-on use and testing of computer vision models in Python using open-source librariesIntro to computer vision

Topics

  • Dataset preparation
  • Basics of training, evaluation, and testing
  • Easy deployment of models
  • Practical applications and next steps

Venue

Online