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tennis-ball-detection
RJTPP/tennis-ball-detection
tennis-ball-detection is a object detection model from RJTPP. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as apache-2.0.
This repository contains a YOLOv8n model fine-tuned specifically to detect tennis balls.
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At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- apache-2.0
- Access
- Public
- Created
- May 30, 2025
- Updated
- Jul 3, 2025
- SHA
- 83ec86c8
Base models
Model card
From the Hugging Face model README
Tennis Ball Detection with YOLOv8
This repository contains a YOLOv8n model fine-tuned specifically to detect tennis balls.
Project Overview
The goal is to accurately detect and localize tennis balls in images and video streams using the YOLOv8 object detection framework.
Requirements
- Python 3.8+
- Ultralytics YOLOv8
- PyTorch
- OpenCV
Installation
Install dependencies with:
pip install ultralytics opencv-python
Usage
Detect tennis balls in an image:
yolo task=detect mode=predict model=tennisball.pt source=your_image.jpg
Detect tennis balls in video/webcam:
yolo task=detect mode=predict model=tennisball.pt source=0 # webcam
License
This project is open-source under the Apache License 2.0 License.
- Task
- Object Detection
- Library
- ultralytics
- License
- apache-2.0
- Created
- May 30, 2025
- Updated
- Jul 3, 2025