This model is a fine-tuned version of YOLOv8 Nano, designed to detect players, balls, and sports equipment in match footage (Football/Tennis).

It was developed specifically to demonstrate Data Engineering techniques, achieving high generalization performance even when trained on a restricted dataset through the use of aggressive offline and online Data Augmentation strategies.

The model is trained to detect the following 3 classes:

To use this model in your Python project, you need the ultralytics and huggingface_hub libraries.