Engine ECU Detection Dataset

#Object Detection #Anomaly Detection #Industrial Inspection #Quality Control
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-13

AI Analysis & Value Prop

Currently, the industrial sector faces significant challenges in ensuring the accuracy of engine control module installations. Misalignment or missing components can lead to severe operational failures and increased maintenance costs. Existing solutions often rely on manual inspections which are prone to human error and inefficiency. This dataset aims to address these technical issues by providing high-quality images of engine ECU setups that are labeled for machine learning applications. The data is collected using high-resolution cameras in controlled environments, ensuring clarity and consistency. Quality control measures include multi-round annotations and expert reviews to guarantee the reliability of the labels. The dataset is organized in JPG format, with each image linked to its metadata for easy access and processing.

Dataset Insights

Sample Examples

3eecb8ff**.jpg|1080*1329|870.14 KB

368fd5a9**.jpg|1080*715|339.86 KB

e6468c7a**.jpg|1080*724|453.10 KB

f7f5aea3**.jpg|1080*1334|735.63 KB

d4e94c10**.jpg|1080*1329|870.14 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
engine_module_presencebooleanThis field indicates whether the engine control module is present in the image.
misalignment_levelstringThis field describes the degree of misalignment of the engine control module.
engine_module_positionstringThis field describes the exact position of the engine control module in the image.
module_orientationstringThis field describes the orientation of the engine control module in the image.
anomaly_typestringThis field is used to indicate the type of anomaly in the engine control module, such as missing or misaligned.
image_quality_scorefloatUsed to represent the score for clarity and recognizability of the image.
lighting_conditionstringThis field describes the lighting conditions at the time the image was taken.
module_sizestringThis field describes the size of the engine control module in the image.
image_clarityintegerUsed to indicate the level of image clarity.
presence_of_hardware_faultbooleanThis field indicates whether hardware faults in the engine control module can be observed in the image.

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

Frequently Asked Questions

What is the Engine ECU Detection Dataset?
The Engine ECU Detection Dataset is an object detection dataset used for detecting misalignment or absence of engine control modules.
What are the main applications of the Engine ECU Detection Dataset?
The dataset is primarily used in the industrial sector for quality inspection and fault diagnosis of engine control modules.
How to use the Engine ECU Detection Dataset for object detection?
The dataset can be used to train machine learning models to automatically identify and locate the position and integrity of engine control modules.
What are the characteristics of the image modality in the Engine ECU Detection Dataset?
The image modality in the dataset includes high-resolution images suitable for precise target recognition and localization.
What are the advantages of using the Engine ECU Detection Dataset in the industrial sector?
Using the dataset in the industrial sector can enhance the efficiency and accuracy of engine production lines by reducing human error through automated detection.

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Cite this Work

@dataset{Mobiusi2025,
  title={Engine ECU Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/d7e93c3eddb7dd18f2158cd39349b5a2},
  urldate={2025-08-28},
  keywords={Engine ECU Dataset,Industrial Dataset,Image Detection Dataset,Control Module Inspection},
  version={1.0}
}

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