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player-detector
PericlesRodrigues01/player-detector
player-detector is a object detection model from PericlesRodrigues01. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as mit.
This model is a fine-tuned version of YOLOv8 Nano, designed to detect players, balls, and sports equipment in match footage (Football/Tennis).
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At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Access
- Public
- Created
- Jan 4, 2026
- Updated
- Jan 5, 2026
- SHA
- 374fb0ed
Model card
From the Hugging Face model README
⚽ 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
pip install ultralytics huggingface_hub
- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Created
- Jan 4, 2026
- Updated
- Jan 5, 2026