This project is an image segmentation model that detects and segments two classes: VR Headset and Controller. The model is trained using the YOLOv5 framework for object detection and segmentation tasks. This project is primarily for practice to understand and implement image segmentation techniques.
This model segments images into two classes:
- VR Headset
- Controller
It can identify and separate these objects from background and other irrelevant elements in the image.
Before running the project, ensure that you have the following dependencies installed:
- Python 3.6 or higher
ultralytics(for YOLOv8 model)torch(PyTorch)
To install the necessary dependencies, run:
pip install ultralytics opencv-python matplotlib torch