• 10 min read
What is YOLO? The Ultimate Guide
Learn about the history of the YOLO family of objec tdetection models, extensively used across a wide range of object detection tasks.
• 5 min read
How to Detect Objects with YOLOv5
SUMMARY
YOLOv5 is an object detection model with an active deployment base, and Roboflow Inference provides a straightforward path to running it in production. This guide covers uploading a trained YOLOv5 model to Roboflow, then deploying it with the Inference SDK to run predictions on individual images and on live
• 7 min read
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.
• 11 min read
What is YOLOv4? A Detailed Breakdown
In this guide, we discuss what YOLOv4 is, the architecture of YOLOv4, and how the model performs.
• 3 min read
How to Train a YOLOv5 Oriented Bounding Box Model
Learn how to train a YOLOv5 Oriented Bounding Box (OBB) object detection model.
• 4 min read
Deploy YOLOv5 to Jetson Xavier NX at 30FPS
Learn how to deploy a YOLOv5 model to a Jetson Xavier NX edge device.
• 9 min read
Retail Store Item Detection using YOLOv5
SUMMARY
This tutorial trains a YOLOv5 model on the SKU110k dataset to detect and localize products on retail store shelves, with dataset preparation handled through Roboflow and model training run in Google Colab. The resulting detector draws bounding boxes around shelf items and can support inventory tracking or automated checkout
• 15 min read
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.
• 10 min read
How to Train a YOLOv5 Model On a Custom Dataset
Learn how to train a YOLOv5 model on a custom dataset.
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