njvisionpower/Safety-Helmet-Wearing-Dataset resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1720 stars · 421 forks observed · 2026-08-28

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

A labeled dataset (SHWD) of 7,581 images for detecting safety helmet (hardhat) wearing and human heads, annotated in Pascal VOC format. It also ships pretrained YOLO models (darknet, mobile1.0, mobile0.25) built with MXNet GluonCV for inference and training.

Use cases

• detect whether workers are wearing safety helmets in images
• train an object detection model for hardhat and head detection
• get a Pascal VOC formatted dataset for head/helmet detection
• use pretrained YOLO models for construction site safety monitoring
• benchmark lightweight YOLO models on helmet detection
• fine-tune a detector on workplace safety compliance images

When to choose

• you need labeled images of people with and without hardhats
• you want a quick pretrained model for helmet-wearing detection
• you work in the MXNet/GluonCV ecosystem and want VOC-format data
• you need a baseline dataset for construction or industrial safety vision tasks

When to avoid

• you need video or real-time streaming safety monitoring out of the box
• you require a maintained project with active updates and support
• you work exclusively in PyTorch or TensorFlow and cannot use MXNet models
• you need large-scale or diverse datasets beyond ~7.5k images

Facets

dataset · maturity maintenance

computer-vision machine-learning image-processing computer-vision machine-learning deep-learning python object-detection safety-helmet pascal-voc yolo gluoncv mxnet pretrained-models workplace-safety gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="njvisionpower/Safety-Helmet-Wearing-Dataset")