How to Deploy YOLOv5 Models with Roboflow

James Gallagher's article, published on February 1, 2023, outlines the process of deploying custom YOLOv5 models on Roboflow's cloud infrastructure. The guide provides detailed instructions on uploading model weights using a few lines of Python code, enabling users to leverage Roboflow's SDKs, tutorials, and open-source software for deployment across various devices, including web browsers and NVIDIA Jetson. Additionally, the article discusses using Roboflow's Label Assist to automate image annotation and the availability of an open-source dataset on Roboflow Universe for training models to identify construction equipment and safety violations. The deployment feature allows users to easily manage and deploy their YOLOv5 models, offering a seamless experience with minimal effort.