Metal Structure Component Detection Dataset
#Object Detection #Image Classification #Structural Inspection #Quality Control #Defect Detection
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-13
AI Analysis & Value Prop
The current industrial landscape faces significant challenges in ensuring quality and consistency in metal structure components. Existing solutions often lack the precision and scalability needed for effective defect detection and dimensional verification. This dataset aims to address the specific technical issues related to automated inspection processes in manufacturing environments. It includes a comprehensive collection of images representing various metal components, annotated with defect types and dimensional specifications. Data collection methods include high-resolution imaging using state-of-the-art cameras in controlled environments, ensuring clarity and detail. Quality control measures such as multi-round annotations, consistency checks, and expert reviews are implemented to maintain high standards. The data is stored in JPG format, organized systematically for easy access and processing.
Dataset Insights
Sample Examples
25447a1d**.png|1062*1500|890.58 KB
6f4afc0b**.png|1115*1500|988.40 KB
1b469ab4**.png|1105*1500|1.66 MB
0eb97047**.png|1154*1500|2.03 MB
06830cc5**.png|1149*1500|1.40 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | Specific category of metal structural parts, such as frame, button, etc. |
| defect_type | string | Types of defects that may exist in the structural parts, such as scratches, cracks, dents, etc. |
| defect_severity | string | Classification of the severity of defects, such as minor, moderate, severe. |
| dimensions_verified | boolean | Indicator of whether dimensional validation is qualified. |
| color_variation | boolean | Whether there is a deviation from the standard color detected. |
| surface_finish | string | Quality of the surface treatment, such as smooth, rough. |
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 main purpose of the mobile metal component detection dataset?
- The dataset is mainly used for detecting the size verification and defect identification of mobile metal components, helping to improve production quality control.
- What type of image data does this dataset contain?
- The mobile metal component detection dataset contains industrial image data for object detection.
- What industrial detection problems can be solved using this dataset?
- This dataset can effectively solve problems such as size verification and surface defect identification of mobile metal components.
- What is the importance of this dataset in the industrial field?
- This dataset is crucial in the industrial field as it assists in automating detection processes and improving detection accuracy and efficiency.
- What is the role of object detection in this dataset?
- In this dataset, object detection is used to automatically identify and label size deviations and defects in mobile metal components.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Metal Structure Component Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/099119d76850e01208587b4706c5562e},
urldate={2025-08-28},
keywords={metal structure detection,industrial quality control,defect detection dataset,image dataset for inspection},
version={1.0}
}Using this in research? Please cite us.
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