How does the Yolov8 handle multiple bounding boxes in the dataset?

[Rajaro72]

I have changed my dataset into xml files for each image, however I have multiple tags as I have multiple bounding boxes in my dataset. When running the tutorial 11, the train_yolo.py has some problems. The dataset loads correctly, [None, path to annotations].

Has anyone found a way to train the model for multiple bounding boxes?

[pythonlessons]

Give me your dataset and code you try to run. We'll solve it

[Rajaro72]

Thank you! I tried two attempts, one was to change the VOCannotationsclass to read the CSV files and another attempt which converted the dataset into xml files for each image. I will attach the code files to this comment and here is the link to the dataset:https://www.kaggle.com/datasets/robikscube/textocr-text-extraction-from-images-dataset?select=train_val_images
XML_attempt.zip
CSV_attempt.zip