VectorVision

This project leverages a YOLO-based machine vision system to recognize matrices and perform matrix arithmetic. The model is trained on custom datasets created from the MNIST dataset and deployed using Roboflow.

Features

• Matrix Detection: Recognizes matrices using a machine vision system.
• Matrix Arithmetic: Performs addition, determinant, and other operations on detected matrices.
• Custom Dataset: Utilizes custom datasets derived from MNIST for specialized training.
• YOLO-based Model: Employs the YOLOv8 (You Only Look Once) object detection algorithm.

Technologies Used

• YOLOv8: A state-of-the-art machine vision system for fast object detection.
• Roboflow: For dataset preprocessing and model deployment.
• MNIST Dataset: Modified to create custom datasets for training the model.

Setup and Installation

1. Clone the repository:

   git clone https://github.com/your-username/matrix-recognition.git
   cd matrix-recognition

2. Install dependencies:

   pip install -r requirements.txt

3. Get an API key from Roboflow:

   • Sign in or create an account.
   • Obtain an API key from VectorVision

4. Run the model:

License

This project is licensed under the MIT License. See the LICENSE file for more details.