YOLOv5, released by Ultralytics on June 25th, 2020, is a computer vision model that supports object detection. For example, you can train an object detection model to detect the location
In 2024, Ultralytics released YOLOv8 Oriented Bounding Boxes which outperforms YOLOv5.
Oriented Bounding Boxes
Oriented bounding boxes are bounding boxes rotated to better fit the objects represented on an angle.
YOLO (You Only Look Once) is a family of computer vision models that has gained significant fanfare since Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi introduced the novel
Edge AI has never been hotter. As computer vision technology advances, it is becoming more and more important to be able to deploy computer vision models that can inference in
This is a lightly edited guest post by Roboflow user Shayan Ali Bhatti, who used Roboflow to train an object detection model to identify items in grocery stores.
Reposted with
The YOLO family of object detection models grows ever stronger with the introduction of YOLOv5. In this post, we will walk through how you can train YOLOv5 to recognize your
Jun 10, 2020
Build and deploy with Roboflow for free
Use Roboflow to manage datasets, train models in one-click, and deploy to web, mobile, or the edge.
