Open Andy2139 opened 2 days ago
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It will always forget the classes if you don't have the original classes and images for the original classes in your dataset.
https://github.com/ultralytics/ultralytics/issues/5126#issuecomment-2405896842
It will always forget the classes if you don't have the original classes and images for the original classes in your dataset.
Ah okay thank you, what about when adding a new class? That seems to have the same effect.
You can't add a class without a dataset containing images of all the classes including the existing ones.
You can't add a class without a dataset containing images of all the classes including the existing ones.
So you have to re-train it for all classes?
Yeah
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Question
Hello, I am a very new user to Ultralytics and YOLO, and I am getting started using YOLO v11. I am able to install and use the pre-trained model yolo11n.pt and use the coco8 data set to train and validate the model. I am also able to get the model identifying objects in my own images. However, I would like it to identify additional objects that are not in the standard 80 classes of the coco dataset.
As soon as I change the classes in the coco.yaml file in any way (even just removing a single class) and then do model.train on the .yaml file, the model is no longer able to detect any objects in any image. Am I doing something wrong? Is it losing all it's pre-training because of the class being removed? Any other helpful tips are appreciated.
Thank you!
Additional
No response