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Dataset assetOpen Source CommunityMachine LearningConstruction Vehicle Detection
ai-hub2
This project uses the 'ai-hub2' dataset, primarily aimed at providing high‑quality training data to improve the YOLOv11 construction equipment detection system on construction sites. The dataset contains five categories: boring machine, concrete truck, crane, dump truck, and excavator, covering common heavy machinery on construction sites to support vehicle detection in complex environments.
Source
github
Created
Oct 22, 2024
Updated
Oct 22, 2024
Signals
917 views
Availability
Linked source ready
Overview
Dataset description and usage context
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
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