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HEIher/
smoking-detection

Name: smoking-detection
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🚬 Smoke Detection with YOLOv11-Medium

This repository contains a custom-trained YOLOv11-Medium object detection model designed to detect cigarette smoke in images and videos. It is ideal for use in surveillance systems, public safety, and smoking zone enforcement.

📊 Model Performance

Metric	Value
Precision	85.62%
Recall	76.92%
mAP@0.5	82.90%
mAP@0.5:0.95	44.69%

Evaluated on a custom Roboflow dataset using YOLOv11 medium variant trained for optimal balance of accuracy and speed.

🧟‍♂️ Model Details

Model: YOLOv11-Medium
Task: Object Detection
Classes: cigarette
Framework: Ultralytics YOLOv11
Training Source: Roboflow Universe

📁 Dataset

Name: Cigarette Smoke Detection
Source: Roboflow Dataset
Format: YOLO
Annotations: Bounding Boxes

💡 Usage

1. Load the Model

python

from ultralytics import YOLO

model = YOLO("path/to/best.pt")  # Replace with your model path

2. Run Inference on an Image

python

results = model("your_image.jpg", save=True)
results.show()

3. Run Inference on a Video

python

results = model("your_video.mp4", stream=True)
for r in results:
    r.show()

model.export(format="onnx")

📜 License

This model is available under the MIT License. Refer to the LICENSE file for more details.

🤖 Author

Uploaded and maintained by: [Uppada Enos] Contact: [enosuppada2005@gmail.com]

🌐 Model Hub

You can access and test this model directly via Hugging Face Spaces or API once published.

HEIher/smoking-detection

🚬 Smoke Detection with YOLOv11-Medium

📊 Model Performance

🧟‍♂️ Model Details

📁 Dataset

💡 Usage

1. Load the Model

2. Run Inference on an Image

3. Run Inference on a Video

📜 License

🤖 Author

🌐 Model Hub

HEIher/
smoking-detection