Webinar: How to Build a Detectron2 Model with Roboflow and Paperspace Gradient

Missed the event or looking for the recording? Check out the Roboflow + Paperspace Detectron2 webinar recording here and notebook here!

Tomorrow, Roboflow and Paperspace are co-hosting a webinar teaching you how to build a Detectron2 model with our tools. Roboflow gives you "everything you need to start building computer vision into your applications." Paperspace is "the cloud platform built for the future." We'll show you how to seamlessly use these together.

Register for tomorrow's Detectron2 webinar here.

This Thursday, March 25 at 1:00pm Eastern time, we'll have Jacob Solawetz (ML Engineer for Roboflow) and Rachel Rapp (ML Engineer and Developer Advocate for Paperspace) walk through building a Detectron object detection model on the blood cell count dataset.

By the end of the webinar, you'll know:

• how to access and use public image datasets with Roboflow,
• how to preprocess and augment your images with Roboflow, and
• how to build a Detectron model with GPU-backed notebooks on Paperspace Gradient.

If you'd like to follow along, make sure you register for the webinar and create Roboflow and Paperspace accounts ahead of time.

Looking forward to seeing you tomorrow at 1pm Eastern time!

Want to check out other Roboflow x Paperspace collaborations?

• Follow along with Jacob training a Scaled-YOLOv4 model using Roboflow and Paperspace.
• Read this post on object detection with PyTorch and Detectron2, co-authored by the COO + co-founder of Paperspace.