PPE Detection System - Construction Safety | Model Annotation & Training
RoboflowImageObject Detection
I engineered a safety monitoring system to detect Safety Helmets and Safety Vests at construction sites using YOLOv11 and OpenCV. I trained a custom object detection model on over 8,000 annotated images utilizing Roboflow for dataset management and augmentation. The project achieved a mAP50 of 91.4% and demonstrated real-time detection capability. • Labeled thousands of images with bounding boxes for safety equipment. • Applied data augmentation techniques to increase dataset variability. • Used Roboflow as the primary platform for dataset annotation and management. • Enabled real-time detection and evaluation using Python and YOLOv11.
I engineered a safety monitoring system to detect Safety Helmets and Safety Vests at construction sites using YOLOv11 and OpenCV. I trained a custom object detection model on over 8,000 annotated images utilizing Roboflow for dataset management and augmentation. The project achieved a mAP50 of 91.4% and demonstrated real-time detection capability. • Labeled thousands of images with bounding boxes for safety equipment. • Applied data augmentation techniques to increase dataset variability. • Used Roboflow as the primary platform for dataset annotation and management. • Enabled real-time detection and evaluation using Python and YOLOv11.
2025 - 2025