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Home/Thermostat Component Detection Dataset

Thermostat Component Detection Dataset

#Object Detection #Image Classification #Industrial Inspection #Quality Control #Fault Detection

15000 records
3.2G
JPG/PNG/JSON
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-03-13

AI Analysis & Value Prop

The current industrial sector faces significant challenges in maintaining the reliability of engine temperature control components. Existing solutions often lack precision in detection and classification, leading to potential failures and increased downtime. This dataset aims to address the technical issues of accurately identifying the installation state and damage conditions of thermostat components, which is crucial for preventive maintenance. The dataset is structured to include images collected from various engine systems under controlled conditions, ensuring a diverse representation. Quality control is implemented through multiple rounds of annotation, consistency checks, and expert reviews. Images are stored in JPG format, organized by date and component type to facilitate easy access and analysis.

Dataset Insights

Sample Examples

189cee04**.jpg|1080*1328|944.15 KB

52443dd1**.jpg|1080*1495|837.31 KB

9838db7e**.jpg|1080*1333|693.76 KB

853f2b63**.jpg|1080*1332|789.71 KB

22e9981d**.jpg|1080*721|440.14 KB

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
component_type	string	Identified thermostat component type, such as valve, housing, etc
defect_type	string	Specific defect type detected in the component
position_x	float	X-axis position of the component or defect in the image
position_y	float	Y-axis position of the component or defect in the image
bounding_box_width	float	Bounding box width of the detected component or defect
bounding_box_height	float	Bounding box height of the detected component or defect
confidence_score	float	Confidence score of the model's recognition result
damage_severity	string	Severity of the detected damage, such as minor, moderate, severe
color	string	The color features of the detected component or area.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
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 Thermostat Component Detection Dataset?: The Thermostat Component Detection Dataset is a collection of images used for identifying and detecting the installation and damage status of engine temperature control components.

Which industry is the Thermostat Component Detection Dataset suitable for?: The dataset is suitable for the industrial sector, particularly for industries related to engines and mechanical equipment.

What are the main application scenarios of the Thermostat Component Detection Dataset?: The main application scenarios include identifying the installation status of engine temperature control components and detecting potential damages to enhance equipment maintenance efficiency.

What data modality is used in the Thermostat Component Detection Dataset?: The dataset uses an image modality, meaning the data is in the form of images.

What type of machine learning tasks can the Thermostat Component Detection Dataset be used for?: The dataset can be used for object detection tasks, helping to train models to recognize and locate specific objects within images.

What should be considered when using the Thermostat Component Detection Dataset?: When using this dataset, it is important to consider the quality of the images and the accuracy of annotations to ensure effective model training. Additionally, users should adhere to the data usage licensing agreement.

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Cite this Work

@dataset{Mobiusi2025,
  title={Thermostat Component Detection Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/da5bf6055a55e97ea2fb6e38270f39e0},
  urldate={2025-08-28},
  keywords={Thermostat Detection Dataset,Industrial Image Dataset,Fault Detection in Engines},
  version={1.0}
}

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