Comments (2)
@BenjaminSchaar hi Benjamin,
Thanks for reaching out! YOLOv5 can certainly be trained to detect worm eggs. The amount of training data needed varies, but generally, a few hundred to a few thousand annotated images should suffice, depending on factors like object variability and dataset balance.
To get started, create a diverse set of training data and use our Ultralytics Docs for guidance on training. Feel free to ask if you run into any issues!
Best of luck with your scientific project. Cheers!
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👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.
For additional resources and information, please see the links below:
- Docs: https://docs.ultralytics.com
- HUB: https://hub.ultralytics.com
- Community: https://community.ultralytics.com
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
Thank you for your contributions to YOLO 🚀 and Vision AI ⭐
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