I get the following warnings since yesterday:
WARNING /content/datasets/Insectivisor-35/train/images/1006_jpg.rf.2c4fd3b77488ed1c97e6829bcb00d1eb.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates
It is clear after checking the files as well that the label files contain bounding boxes with values above 1 which is unnatural for the YOLOv8 export option that I chose. I have also tried exporting to YOLOv5 format to see if this could solve it with no change at all.
What I have done prior to this and might be related is that I added new labels and 2 new classes in the project. Regardless, I have excluded the new classes in the preprocessing.
This was tested on dataset versions: v35, v36 and v37 all with the same results. It should be noted that v35 was created before I added new labels and annotations, while the other 2 after.
Sorry to hear you’re having issues. Could you share the specific image IDs that you checked are out of bounds?
Thanks for replying!
Here are the ones that I get the warning for. I get a total of 31 warnings because some images are augmented so they are referenced twice.
These are the file names in the project:
1002, 1003, 1004, 1116, 1118, 1138, 1140, 1142, 1143, 1160, 1165, 1166, 1182, 1200, 1207, 1224, 1228, 1229, 1231, 1233, 1249, 1255, 1257, 1262, 1270, 1281, 1282, 1283
here are the links to each of them in order:
I’m still looking into your issue. Could you try generating a version without Auto-Orient as a preprocessing step to see if that solves your issues?
Hi @stellasphere ,
I don’t know what changed since then, but the warnings seem to be gone. I can still try and generate a version without Auto-Orient if that will be helpful to you. (v41)
Regardless, thanks for your help so far.
That’s great to hear! I’m glad your issue got solved. If there’s anything you changed or did that caused your issue to get solved, listing it here might help other people experiencing the same issue.
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