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Description
A dataset of 15,500 images containing 60,991 annotated objects for detecting personal protective equipment (PPE) in construction environments. It is formatted for YOLOv8 and includes three classes: helmet-wearing, head (no helmet), and vest-wearing. The dataset was created by jhboyo and last updated on November 21, 2025.
Use Cases
Train object detection models to identify helmet usage based on the 'helmet' and 'head' classes.
Develop real-time safety violation alerts based on the detection of unprotected heads.
Monitor compliance with safety vest policies based on the 'vest' class annotations.
Benchmark YOLO-based models for PPE detection tasks in industrial settings.
Strengths
Contains 15,500 images, providing a substantial base for model training.
Includes 60,991 annotated objects across three distinct classes.
Optimized for YOLOv8, a popular object detection framework.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
jhboyo
Freshness
Last updated 2025-11-21 11:58:30.
License is unknown; terms of use must be verified before application.