Object Detection is a task in Artificial Intelligence that focuses on detecting objects in images. Yolo V5 is one of the best available models for Object Detection at the moment. The great thing about this Deep Neural Network is that it is very easy to retrain the network on your own custom dataset.

In this article, I will cover how to train a Yolo V5 Object Detection model. I will focus on how to get started quickly and easily, rather than on tuning the hyper parameters of the model.

How do you train a custom Yolo V5 model?

To train a custom Yolo V5 model, these are the steps to follow:

1. Set up your environment
2. Set up the data and the directories
3. Set up the configuration YAML files
4. Train the model to learn how to detect objects
5. Use your custom Yolo V5 model to detect objects on the test data

#machine-learning #object-detection #artificial-intelligence #data-science #yolo v5