Yolo V3 and V4 . Custom Images datasets: Error: index 52 is out of bounds for axis 1 with size 52

[ASR-Engineering-Consulting]

I am creating custom datasets, with hight resolution to detect all the strawberry growing stages for my Msc project, I got the pictures and using LabelIMG to label each. I already trained yolo v3 for a F1 car deception before. but now I am getting this error
I am thinking about the image size could be the problem, but I already had label more than 1000 images and I will need to resize the image and annotation.

I was looking in Github for a script to test all the images before start the training to avoid wasting time. Any ideas on how to address this issues?

what is your suggestion? I need to use my own pictures to perform this training.
Antonio

[pythonlessons]

Everything is fine with your images, you don't need to resize them manually.
What you did to receive this error? When you encounter it?

[ASR-Engineering-Consulting]

[ASR-Engineering-Consulting]

[ASR-Engineering-Consulting]

I am looking on the dataset.py, maybe the annotation or prepocess true box

[ASR-Engineering-Consulting]

My dataset is about Strawberries and I would like to run the Archer prior box scrips to adjust to my datasets

[pythonlessons]

Did you solved this problem?