Home Appliance Screw Stripping Detection Dataset
#Image Classification #Anomaly Detection #Quality Assurance #Industrial Inspection #Quality Control #Manufacturing Process
- 15000 records
- 1.8G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-14
AI Analysis & Value Prop
In the current industrial landscape, the quality of assembly processes is critical, especially regarding the integrity of screws in home appliances. A significant challenge faced by manufacturers is the identification of stripped screws, which can lead to product failures and safety concerns. Existing solutions often rely on manual inspection, which is time-consuming and prone to human error. This dataset aims to address the need for automated detection systems that can reliably identify stripped screws, thereby enhancing assembly quality and reducing defect rates. The data was collected using high-resolution cameras in a controlled factory environment, ensuring consistent lighting and background conditions. Quality control measures included multiple rounds of labeling by trained technicians, consistency checks across different annotators, and final validation by domain experts. The data is organized in JPG format, with each image stored alongside its metadata in a structured directory format.
Dataset Insights
Sample Examples
2df275b2**.jpg|1280*1387|195.72 KB
f3cd8424**.png|1280*1534|1.23 MB
d72a0283**.png|1280*1516|1.16 MB
071edc33**.png|1280*1254|905.58 KB
9b33f116**.png|1280*1490|1.28 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| screw_type | string | Used to denote the specific type of screw, such as cross, hex, etc. |
| screw_position | string | The specific location of screws in home appliances. |
| thread_damage | string | Evaluating the level of thread damage through images, such as intact, minor, serious, etc. |
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 Home Appliance Screw Slip Detection Dataset?
- The Home Appliance Screw Slip Detection Dataset is an image dataset used to assess the risk of thread stripping in appliance screws to improve assembly quality.
- How does the Home Appliance Screw Slip Detection Dataset help improve assembly quality?
- By detecting and assessing the risk of thread stripping, this dataset aids in identifying potential assembly issues, thereby enhancing overall assembly quality.
- Which industries is the Home Appliance Screw Slip Detection Dataset applicable to?
- This dataset is widely applicable in industrial sectors, especially in home appliance manufacturing and related assembly industries.
- What is the data modality of the Home Appliance Screw Slip Detection Dataset?
- The data modality of this dataset is images, particularly suitable for image processing tasks in object detection.
- What role does object detection play in screw slip detection for appliances?
- Object detection helps automate the detection of screw slip risks by identifying defect areas in images, enhancing quality control.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Home Appliance Screw Stripping Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/1b74cdcb2acf1c02d845eabbb0bbff7d?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Screw Detection Dataset,Industrial Quality Control,Image Dataset for Manufacturing,Screw Stripping Detection},
version={1.0}
}Using this in research? Please cite us.
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