Yolov5: Test Bounding box in Custom Data is shifted!

Created on 16 Aug 2020  路  7Comments  路  Source: ultralytics/yolov5

Hi. I'm sooo glad to meet your repo! But I have a issue,I trained with My custom data.
And now I'm trying to test it and I found a problem.
My Test Result All Bounding Boxes are shifted! I don't know why this is happening!

I look forward to a answer. Thank you!

Stale question

Most helpful comment

Yes, like @Ownmarc said you want to check your train and test jpgs here for proper labels. If the boxes are incorrect here it means your labels are not correct.
Screen Shot 2020-08-16 at 11 34 03 PM

All 7 comments

Hello @chokyungjin, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Jupyter Notebook Open In Colab, 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.

Your labels are probably wrong.. Start by checking the images created in runs/expN/ to confirm your labels are correct. If they are all shifted there too, it means that your ground truth labels are all shifted or you have a problem in you label conversion script.

Thank you!! One more Question..
How Can i Check my annotation data in my Image?
I don't know how to check the annotations after adjusting them to the 0-1 scale coordinates.

After starting a training, look in the folder that gets created "runs/exp1/ " there will be 4 images that show the batches with their labels on it. Make sure they are correct

Thank you again!

Yes, like @Ownmarc said you want to check your train and test jpgs here for proper labels. If the boxes are incorrect here it means your labels are not correct.
Screen Shot 2020-08-16 at 11 34 03 PM

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.

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