How to use the trained model and test it on another dataset?

[Diego_Abade]

I have trained a YOLOv5 model and would like to test it for detection on another database, I trained it using the RoboFlow source code.

I would like to know how I can get this model and test it somewhere else, is there any ready-made code that I can do this?

[Mohamed]

Hi Diego,

For your custom model, if you have saved the model weights, then you can use detect.py from YOLOv5 to run inference - just remember to clone the repository to your local machine. Here’s an example guide on running inference with your webcam:

• Run YOLOv5 on Your Webcam - Roboflow

There are more options available on the repository, outlined in the Documentation and the detect.py source code.

Additionally, here are our resources to help with performing inference using models trained with Roboflow Train:

Inference - Object Detection

• Response object format (the results you receive from your model when running inference)
• Code Snippets for the Inference API (object detection)
• Code Snippets for the Inference API (classification)
• Obtaining Your API Key
• Infer with the Roboflow Python package or Upload API (Example Code included)

[Diego_Abade]

Thank you!