Yolo11x Number Operator

🚀 Number and Operator Detection Based on YOLO11x

This project offers a PyTorch-exported model leveraging the YOLO11x architecture to detect numbers (0 - 10) and basic arithmetic operators (+, -, ×, ÷, =) in images, returning their locations and classifications.

🚀 Quick Start

This repository provides a model for detecting numbers and arithmetic operators. Here's how you can start using it:

✨ Features

The YOLO11x model is optimized for detecting the following:

• Numbers: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
• Operators: +, -, ×, ÷, =

#class
0
1
2
3
4
5
6
7
8
9
div
eqv
minus
mult
plus

📦 Installation

Ensure you have the ultralytics library installed, which is used for YOLO models:

pip install ultralytics

💻 Usage Examples

Basic Usage

You can load the model and perform detection on an image as follows:

from ultralytics import YOLO

# Load the model
model = YOLO("./number_11x.pt")

# Perform detection on an image
results = model("image.png")

# Display or process the results
results.show()  # This will display the image with detected objects

Advanced Usage

The results object contains bounding boxes, labels (e.g., numbers or operators), and confidence scores for each detected object. Access them like this:

for result in results:
    print(result.boxes)   # Bounding boxes
    print(result.names)   # Detected classes
    print(result.scores)  # Confidence scores