How to Build a Detectron2 Model with Roboflow and Paperspace Gradient

Learn how to build a Detectron2 model using Roboflow and Paperspace Gradient in this comprehensive webinar. Discover techniques for accessing and utilizing public image datasets with Roboflow, preprocessing and augmenting images to enhance model performance, and leveraging GPU-backed notebooks on Paperspace Gradient for efficient model building. Follow along as ML engineers Jacob Solawetz and Rachel Rapp guide you through practical demonstrations, including exploring the Gradient console and implementing Detectron2. Gain valuable insights into computer vision workflows and enhance your skills in working with image datasets and building advanced object detection models.

Syllabus

Start
Webinar Introduction
Roboflow Introduction
Paperspace Introduction
Roboflow Demo -- access and use public images, then preprocess and augment images
Paperspace Demo -- explore Gradient console, then build Detectron2 model
Questions & Answers