How to Build a Detectron2 Model with Roboflow and Paperspace Gradient
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.