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What are the main differences in train #5 and #6 releases? #9657
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@gertelrina see README training section for commands to train YOLOv5. |
Yea, I have seen and used this, but I don’t understand how did you manage to raise the mAP, bcs compare two version releases is really long task, so I hoped that u can answer, thank you😊 |
👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs. Access additional YOLOv5 🚀 resources:
Access additional Ultralytics ⚡ resources:
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 YOLOv5 🚀 and Vision AI ⭐! |
@gertelrina thanks for your interest! You can improve the mAP by optimizing the training parameters such as learning rate, data augmentation, model size, and the number of training epochs. Additionally, fine-tuning the pre-trained model on a similar dataset can also help improve performance. The changes between releases #5 and #6 are documented in the release notes and the model configurations in the repository. I'd like to highlight that the advancements in performance are primarily due to the collective efforts and contributions of the YOLO community and the diligent work by the Ultralytics team. Good luck with your training! |
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What do I need change in train pipeline to getting the same metrics as in #6 rel(without pretrain)?
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