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 (opens in a new tab) here and notebook here (opens in a new tab)!
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 (opens in a new tab) 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 (opens in a new tab).
This Thursday, March 25 at 1:00pm Eastern time, we'll have Jacob Solawetz (ML Engineer for Roboflow) and Rachel Rapp (opens in a new tab) (ML Engineer and Developer Advocate for Paperspace) walk through building a Detectron object detection model on the blood cell count dataset (opens in a new tab).
By the end of the webinar, you'll know:
- how to access and use public image datasets (opens in a new tab) with Roboflow,
- how to preprocess (opens in a new tab) and augment your images (opens in a new tab) with Roboflow, and
- how to build a Detectron model (opens in a new tab) with GPU-backed notebooks on Paperspace Gradient (opens in a new tab).
If you'd like to follow along, make sure you register for the webinar (opens in a new tab) and create Roboflow and Paperspace (opens in a new tab) 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 (opens in a new tab) using Roboflow and Paperspace.
- Read this post on object detection with PyTorch and Detectron2 (opens in a new tab), co-authored by the COO + co-founder of Paperspace.
