Improved YOLOv11 Construction Equipment Detection System Dataset Overview

Dataset Information

Dataset Name

• Name: ai-hub2

Dataset Purpose

• Purpose: Provide high‑quality training data to enhance the YOLOv11 construction equipment detection system.

Dataset Categories

• Number of Classes: 5
• Class Names:
  • Boring Machine (boring_machine)
  • Concrete Truck (concrete_truck)
  • Crane (crane)
  • Dump Truck (dump_truck)
  • Excavator (excavator)

Dataset Characteristics

• Diversity: The dataset contains 3,900 images captured in various construction site scenes, viewpoints, lighting conditions, and backgrounds.
• Annotation Information: Objects in each image are accurately labeled, facilitating effective model learning and optimization.
• Scene Coverage: The dataset emphasizes vehicle states under different site conditions, including both static and dynamic scenarios.

Dataset Applications

• Application Domain: Construction equipment detection systems.
• Object Detection: Used to train and optimize YOLOv11‑based detection models, improving accuracy and real‑time performance.

Dataset Download

• Download Link: Project Dataset Download Link