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Which one is better model trained on single object images or multiple object images? #16340

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Haseeeb21 opened this issue Sep 18, 2024 · 3 comments
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detect Object Detection issues, PR's question Further information is requested Stale Stale and schedule for closing soon

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@Haseeeb21
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  • I have searched the Ultralytics YOLO issues and discussions and found no similar questions.

Question

Let say I am training a model on single class, now should the dataset contains only images in which there is one instance of the object or dataset in which multiple instances of objects are present in each images?

What is the effect of both?
Let say in real life the model will face multiple instances.

Additional

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@Haseeeb21 Haseeeb21 added the question Further information is requested label Sep 18, 2024
@UltralyticsAssistant UltralyticsAssistant added the detect Object Detection issues, PR's label Sep 18, 2024
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UltralyticsAssistant commented Sep 18, 2024

👋 Hello @Haseeeb21, thank you for reaching out to Ultralytics 🚀! We recommend visiting our Docs for comprehensive guidance on training models and understanding dataset implications. You'll find many Python and CLI examples there, which might address your questions.

For training-related queries like this ❓, the choice between single-object images and multiple-object images can significantly impact model performance, especially reflecting real-world scenarios. However, more detailed advice would depend on additional context such as your dataset specifics or training logs, so please provide more information if possible.

Join our active Ultralytics community for discussions:

Ensure you are using the latest version of Ultralytics:

pip install -U ultralytics

Check out the available environments for running YOLOv8, including options with free GPUs: Run on Gradient Open In Colab Open In Kaggle

This is an automated response, but rest assured, an Ultralytics engineer will assist you soon! 📚

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It should be similar to what you encounter during inference.

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@github-actions github-actions bot added the Stale Stale and schedule for closing soon label Dec 9, 2024
@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Dec 20, 2024
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detect Object Detection issues, PR's question Further information is requested Stale Stale and schedule for closing soon
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