---
license: mit
tags:
- object-detection
- vision
- yolov8
- sports
- football
- tennis
library_name: ultralytics
pipeline_tag: object-detection
---

# ⚽ Football & Sports Player Detection (YOLOv8)

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.

## 🏷️ Classes
The model is trained to detect the following 3 classes:
* `0`: **Person** (Players)
* `1`: **Ball** (Football, Tennis ball)
* `2`: **Equipment** (Rackets)

## 💻 How to Use

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

### Installation
```bash
pip install ultralytics huggingface_hub