Add business value section to Construction-PPE dataset (#22029)

Signed-off-by: UltralyticsAbi <abi@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com>
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@ -20,6 +20,13 @@ Each image is annotated in the [Ultralytics YOLO](../detect/index.md/#what-is-th
The dataset provides **11 classes** divided into positive (worn PPE) and negative (missing PPE) categories. This dual-positive/negative structure enables models to detect properly worn gear **and** identify safety violations.
## Business Value
- Construction remains one of the most hazardous industries in the world, with over 51 out of 123 work related **fatal injuries** in the UK in 2023/2024 happening in construction. However, the issue is no longer an issue with lack of regulation with 42% of construction workers admitting to not always adhering to processes.
- Construction is already governed by an extensive framework of health and safety (HSE) standards, but HSE teams are challenged with consistent enforcement. HSE teams are often stretched thin, balancing paperwork and audits and lacking the ability to monitor every corner of a busy and ever-changing environment in real time.
- This is where computer vision based personal protective equipment (PPE) detection becomes invaluable. By automatically checking whether workers are wearing **helmets, vests and other personal protective equipment**, you can ensure HSE rules are not just present but effectively enforced consistently across all sites. Beyond compliance, computer vision provides leading indicators of risk by revealing how well crews follow safety practices, enabling organisations to spot downward trends in compliance and prevent incidents before they happen.
- As a bonus, personal protective equipment detection has also been known to identify unauthorized site intruders, since **those not equipped with proper safety gear** are the first to trigger a notification. Ultimately, PPE detection is a simple yet powerful computer vision use-case that delivers full oversight, actionable insights and standardized reporting, empowering construction firms to reduce risk, protect workers and safeguard their projects.
## Applications
Construction-PPE powers a variety of safety-focused computer vision applications: