You can deploy models using custom-trained YOLOv5 weights using Roboflow.
With Roboflow and YOLOv5, you can:
With the v6.0 release, YOLOv5 further solidifies its position as the leading object detection model and open source repository.
YOLOv5 derives most of its performance improvement from PyTorch training procedures, while the model architecture remains close to YOLOv4.
This blog will walk through how to train YOLOv5 for Classification on a custom dataset.
Learn how to train YOLOv5 to detect a school bus using Roboflow and CometML
Oriented bounding boxes are bounding boxes rotated to better fit the objects represented on an angle. Follow this guide to learn more.
In this article, learn how to deploy a computer vision model using custom YOLOv5 weights to Roboflow.
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