Crankshaft Component Detection Dataset

#Object Detection #Image Classification #Quality Inspection #Defect Detection #Automotive Manufacturing
  • 15000 records
  • 3.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-10

AI Analysis & Value Prop

The Crankshaft Component Detection Dataset addresses the current challenges in the industrial sector, particularly in the automotive manufacturing industry, where the inspection of crankshaft components is critical for ensuring quality and performance. Existing solutions often lack the ability to accurately detect defects in complex structures, leading to potential failures in engine performance. This dataset aims to bridge that gap by providing a robust set of annotated images specifically for object detection tasks related to crankshaft components. Data collection involved high-resolution imaging in controlled environments, with advanced cameras capturing various angles and conditions. Quality control measures included multi-round annotations by experts, consistency checks, and thorough reviews to ensure the integrity of the data. The dataset is stored in JPG format, organized systematically to facilitate easy access and utilization.

Dataset Insights

Sample Examples

34d925b5**.png|1280*892|1.20 MB

4676a77b**.png|1280*1329|1.70 MB

d35d8eae**.png|1280*1423|1.17 MB

0d8e1c97**.png|1280*928|1.08 MB

98a7be9f**.png|1280*900|963.76 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/f05137c0ad786f0cd7193f6d910c33c3},
  urldate={},
  keywords={},
  version={}
}

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