Crankshaft Component Detection Dataset
#Object Detection #Image Classification #Quality Inspection #Defect Detection #Automotive Manufacturing
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-05-09
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
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| component_type | string | The specific type of crankshaft component, such as crankshaft, bearing, flywheel, etc. |
| defect_type | string | The type of defect detected in the crankshaft component, such as cracks, deformation, wear, etc. |
| defect_severity | string | The severity level of the defect, such as minor, moderate, or severe. |
| defect_location | string | Description of the specific location of the defect on the component. |
| surface_condition | string | The condition of the component's surface, such as smooth, rough, contaminated, etc. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the Crankshaft Component Detection Dataset?
- The Crankshaft Component Detection Dataset is a dataset focused on object detection of crankshaft components in the industrial field, aimed at improving detection accuracy and efficiency.
- In which industrial scenarios can the Crankshaft Component Detection Dataset be applied?
- The Crankshaft Component Detection Dataset can be applied in various industrial scenarios requiring precise detection of crankshafts, such as manufacturing and quality inspection.
- Why choose crankshaft components as detection objects?
- Crankshaft components play a critical role in machinery, and precise detection helps enhance the overall efficiency and reliability of the equipment.
- How can this dataset be used to improve detection accuracy?
- Employ state-of-the-art object detection algorithms like YOLO or Faster R-CNN, combined with training on this dataset, to improve detection accuracy.
- How does the object detection type of this dataset affect its application?
- The object detection type allows the dataset to be used for locating and identifying specific positions of crankshaft components, providing a foundation for further analysis and decision-making.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Crankshaft Component Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/f05137c0ad786f0cd7193f6d910c33c3},
urldate={2025-08-28},
keywords={Crankshaft Dataset,Industrial Image Dataset,Object Detection Crankshaft,Automotive Quality Inspection},
version={1.0}
}Using this in research? Please cite us.
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