Yolov5: YoloV5 Own Custom Dataset

[sutthisart]

❔Question

Do you have method for training own custom dataset?

Additional context

I have own custom datasets (250 images and each label file of images) and I don't want to download coco dataset
and Can label file from yolo_mark of AlexeyAB use for training weights in your yolov5?
This link : https://github.com/AlexeyAB/Yolo_mark

[github-actions[bot]]

Hello @sutthisart, 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 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.

[fabiozappo]

Hi @sutthisart,

I've just cloned the repo and trained yolov5 on my custom dataset. I suggest you to read this guide.

[sutthisart]

Thank you guys. I got this!

[sutthisart]

Excuse me, Glenn-jocher.
Do you have a research paper of this repo? @glenn-jocher

[glenn-jocher]

@sutthisart we are planning on publishing to arxiv by the end of the year, in the meantime you can use this for a DOI and bibtex https://github.com/ultralytics/yolov5#citation

[sutthisart]

Thank you so much @glenn-jocher

[github-actions[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.