ConstructIQ Monitor - Construction Safety Detection (YOLOv11s)

This is a fine-tuned YOLOv11s object detection model designed specifically for construction site monitoring and safety compliance. It detects workers, heavy machinery, and Personal Protective Equipment (PPE) to automate hazard identification and site intelligence.

This model is a core component of the SiteSpectra / ConstructIQ computer vision pipeline.

🏗️ Supported Classes

The model detects 10 distinct classes relevant to construction reality-capture:

Hardhat
Mask
NO-Hardhat
NO-Mask
NO-Safety Vest
Person
Safety Cone
Safety Vest
machinery
vehicle

📊 Training & Validation Metrics

The model was fine-tuned for 20 epochs on a dataset of over 2,800 construction site images. It achieved strong validation metrics, particularly on critical safety and equipment classes:

Overall mAP50: 80.6%
Machinery mAP50: 92.0%
Hardhat mAP50: 88.9%
Safety Vest mAP50: 87.0%
Person mAP50: 83.5%

🚀 How to Use

You can easily use this model in Python using the ultralytics library.

Installation

pip install ultralytics huggingface_hub

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