Thermostat Shell Detection Dataset
#Object Detection #Image Classification #Quality Assessment #Industrial Inspection #Quality Control #Automated Recognition
- Records
- 5000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The Thermostat Shell Detection Dataset addresses the current challenges in industrial manufacturing, particularly in the automated recognition and leak testing of thermostat shells. Traditional methods often struggle with accuracy and speed, leading to increased operational costs and defective products. This dataset aims to enhance the performance of machine learning models in defect detection and quality assurance. The data is collected using high-resolution cameras in controlled environments, followed by rigorous quality control measures including multiple rounds of annotation, consistency checks, and expert reviews. The dataset is organized in a structured format with images stored in JPG and associated metadata in JSON, ensuring easy access and processing.
Overview
Dataset Insights
Preview
Sample Examples
a85fd4bb**.jpg|1440*1080|48.81 KB
81c07e4b**.jpg|1244*2560|104.23 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of targets detected in the image. |
| defect_presence | boolean | Indicates whether there are any defects in the shell present in the image. |
| defect_type | string | The types of defects detected, such as cracks, deformations, and so on. |
| bounding_boxes | json | The coordinates of the bounding box for each detected target. |
| material_type | string | The type of material of the shell, such as plastic, metal, etc. |
| surface_condition | string | The surface condition of the casing, such as smooth, rough, etc. |
| color | string | The color of the casing. |
| shape | string | Description of the casing's shape, such as round, square, etc. |
| temperature_resistance_rating | string | The temperature resistance level of the casing. |
Trust
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
FAQ
Frequently Asked Questions
- What is the thermostat housing detection dataset?
- The thermostat housing detection dataset is an industrial field object detection dataset primarily used to improve detection efficiency and accuracy.
- How is the thermostat housing detection dataset applied in the industrial field?
- This dataset can be used to train machine learning models to automatically detect and identify thermostat housings in industry, enhancing detection efficiency and reducing human errors.
- What are the characteristics of the image modality in the thermostat housing detection dataset?
- The image modality of this dataset mainly includes images of thermostat housings related to industrial equipment, suitable for object detection tasks.
- Why is this dataset suitable for object detection?
- The thermostat housing detection dataset contains rich label information that helps models learn to accurately identify object characteristics and locations, making it suitable for object detection tasks.
- What are the potential advantages of using the thermostat housing detection dataset?
- Researchers and engineers can leverage this dataset to improve model accuracy in industrial environments, reducing the need for manual inspection and enhancing production efficiency.
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Cite this Work
@dataset{Mobiusi2025,
title={Thermostat Shell Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/81ee8a777621be0c67ffbca96cd6ca83?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Thermostat Detection Dataset,Industrial Image Dataset,Quality Control Dataset,Automated Inspection,Defect Detection},
version={1.0}
}Using this in research? Please cite us.
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