Yolov5: Overfitting on Custom Dataset

[hktxt]

I use this repo to train my own dataset, single class.
I got this result:

is it logical?

[github-actions[bot]]

Hello @hktxt, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Jupyter Notebook , Docker Image, and Google Cloud Quickstart Guide for example environments.

If this is a bug report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom model or data training question, please note that Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:

• Cloud-based AI systems operating on hundreds of HD video streams in realtime.
• Edge AI integrated into custom iOS and Android apps for realtime 30 FPS video inference.
• Custom data training, hyperparameter evolution, and model exportation to any destination.

For more information please visit https://www.ultralytics.com.

[yxNONG]

@hktxt is the class of your data include in coco? seem like it's over fitting, maybe just need few epoch and lower learning rate

[glenn-jocher]

@hktxt you get 0.94 [email protected]. You can use best.pt and call it a day, or you can experiment alternatives like @yxNONG mentions.