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leeyunjai/
yolo26-helmet

Name: yolo26-helmet
Availability: InStock

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Number and Operator Detection Based on YOLO11x

This repository contains a PyTorch-exported model for detecting box using the YOLO11 architecture. The model has been trained to recognize these symbols in images and return their locations and classifications.

Model Description

The YOLO11 model is optimized for detecting the following:

helmet / face(no helmet)

text

#class
helmet
face (no helmet)

How to Use

To use this model in your project, follow the steps below:

1. Installation

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

pip install ultralytics

2. Load the Model

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

python

from ultralytics import YOLO

# Load the model
model = YOLO("./helmet-26m.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

3. Model Inference

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

Access them like this: