Wiper Arm Detection Dataset

#Image Classification #Object Detection #Wiper Efficiency Recognition #External Damage Detection
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-11

AI Analysis & Value Prop

The current industrial sector faces challenges in ensuring the efficiency and safety of wiper arms in vehicles, particularly in adverse weather conditions. Existing solutions often lack precision in damage detection and efficiency assessment, leading to safety concerns. This dataset addresses these technical issues by providing a comprehensive collection of images with annotations for wiper efficiency and damage status. The data is collected from various environments using high-resolution cameras and includes images taken in different lighting conditions. Quality control measures include multi-round annotations, consistency checks, and expert reviews to ensure data reliability. The dataset is organized in JPG format, with images stored in a structured directory based on categories. Each image is accompanied by metadata describing its characteristics.

Dataset Insights

Sample Examples

8c3d0668**.jpg|1080*1771|670.47 KB

8a296993**.jpg|1080*1339|557.89 KB

1073ed53**.jpg|776*690|220.34 KB

6f0e039b**.jpg|1080*1327|816.24 KB

154f0d5e**.jpg|1080*728|262.72 KB

Technical Specifications

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/6395207bb2c48205ea17f53fa5073d01},
  urldate={},
  keywords={},
  version={}
}

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