YOLOv5

How to Detect Objects with Ultralytics YOLOv5

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

What is YOLOv6? The Ultimate Guide.

In this guide, we discuss what YOLOv6 is, how the model works, and the architectural improvements made in YOLOv6 over its predecessors.

What is YOLOv4? A Detailed Breakdown.

In this guide, we discuss what YOLOv4 is, the architecture of YOLOv4, and how the model performs.

YOLOv5 for Oriented Object Detection

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.

What is YOLO? The Ultimate Guide [2024]

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

Deploy YOLOv5 to Jetson Xavier NX at 30FPS

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

Retail Store Item Detection using YOLOv5

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

What is YOLOv5? A Guide for Beginners.

In this article, we discuss what is new in YOLOv5, how the model compares to YOLO v4, and the architecture of the new v5 model.

How to Train a YOLOv5 Model On a Custom Dataset

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