Fine-Tuning YOLOv8 for Volleyball Object Detection - Advice Needed

Hello everyone,

I'm seeking advice on how to enhance the performance of my model trained (`pretrained=True`) using [ultralytics](https://docs.ultralytics.com/modes/train/) **YOLOv8m**. I've trained the model on my [dataset](https://drive.google.com/file/d/14DDgtoAFoSRhpmzNdnIxPD3TI_gV1obW/view?usp=drive_link) consisting of **19k** volleyball images, but I'm looking to refine the detections and add more intelligence to the system.

For now the only improvement I can think of is simple logic such as selecting top-1 detection and a list of static coordinates.

\- How can I optimize the model for better detection of small …

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