Yolov8 -Non Normalized or Out of Bounds

Project Type: Image recognition model
I am trying to build an image recognition model, and have used roboflow for creating bounding boxes. When I started trianig it gave me the following error:
train: WARNING :warning: /home/ubuntu/train/images/o19_jpg.rf.a7b50eca866a8b68db70771d7105fa83.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.084 2.0452 1.0811 2.0804]
train: WARNING :warning: /home/ubuntu/train/images/o9_jpg.rf.6a498ca246d33de99c0ced867e4b3dec.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 4.429 4.4762 4.4263]

This was for almost 2k pictures, my total dataset is 14k images. I have used normal bounding boxes for annotations, and have used the following augmentations:

Preprocessing

Auto-Orient: Applied

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Shear: ±10° Horizontal, ±10° Vertical

I have tried looking at everything, and can not find the actual source of issue. Can someone please assist me in this. Also I thought it was a problem when creating a version. So I remade, and it started freezing at zipping files. Because of these I ended up making another version, but still the error persisted.

Assistance will be appreciated.

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

Hi @Hamza_Shariq - did you get this resolved?

I recommend creating another version and try training another model. It’s likely we’ve fixed the underlying issue since you first posted.