NEGATIVE BOUNDING BOXES

[robertokcanale]

Hi,
I am training my own Keras model to use YOLO3 for inference, but i get negative and wierd bounding boxes, if any at all. I am trying to segment a hand-pressure image into PALM THUMB FINGERS (0,1,2 respectively for the classes). I use labelImg for annotation and then i convert it to xmin ymin xmax ymax class_id
I follow all the steps for custom training (with a small dataset of 200 images) but i get the following error:

Found 1 boxes for img
[ -49.221752 -130.95093 -45.08555 188.86354 ] 0.31854975

Or better, I get negative positions for my bounding boxes, why is that?

I attach a photo of my hand, its annotation in .txt, the whole train file for my script, my classes, and the image I get out of it.

1.txt
my_classes.txt
train.txt