PeterH0323/Smart_Construction

Health v2 · maintenance only

Adoption not part of the score

2619 stars · 478 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A YOLOv5-based object detection application for detecting people, heads, and safety helmets on construction sites, including pretrained weights and a PyQt5 visualization interface. It also ships a detailed tutorial for training YOLOv5 on custom datasets.

Use cases

• detect whether workers are wearing safety helmets in site photos
• build a construction site safety monitoring system
• train YOLOv5 on my own custom dataset
• convert VOC annotations to YOLO format
• run object detection with a GUI visualization tool
• detect people and heads in images with pretrained weights

When to choose

• you need helmet/person detection for construction safety with ready pretrained weights
• you want a step-by-step example of training YOLOv5 on custom data
• you want a simple desktop GUI to visualize detection results

When to avoid

• you need real-time video stream detection at scale in production
• you need a maintained, up-to-date YOLOv5 codebase (it pins YOLOv5 v2.x)
• you need detection classes beyond person/head/helmet without retraining

Facets

application · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision image-processing deep-learning developer-tools tutorials python windows yolov5 object-detection helmet-detection construction-safety pytorch safety-monitoring visualization-tool custom-dataset-training linux macos desktop

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