Adding Another head that does not share weights with the other

[naruarjun]

❔Question

Hello. I wanted to ask what is the easiest way to add another head and train both the heads to detect different objects while using the same backbone.

Additional context

The final model that I want needs to be trained in a Multi-Task setup where both heads share the same backbone.

[github-actions]

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[naruarjun]

#2001 has the solution

[LeonNerd]

hello, I want to do the same thing，I want needs to be trained in a Multi-Task setup where both heads share the same backbone. what should i do? thanks

[glenn-jocher]

@LeonNerd hello! To train a multi-task setup with separate heads sharing the same backbone, you can define two separate head modules in the YOLOv5 architecture. Each head will have its own set of detection classes and prediction parameters. You can find more information on this in the YOLOv5 documentation at https://docs.ultralytics.com/yolov5/. Let me know if you need further guidance!

[jain-abhay]

❔Question

Hello. I wanted to ask what is the easiest way to add another head and train both the heads to detect different objects while using the same backbone.

Additional context

The final model that I want needs to be trained in a Multi-Task setup where both heads share the same backbone.

Hi @naruarjun , I am currently researching on a similar problem with a common backbone and 2 different heads. Please can you kindly share your inputs with me about this. Thanks