Mobile Motherboard Screw Detection Dataset
#Object Detection #Classification #Anomaly Detection #Industrial Inspection #Quality Control #Manufacturing
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-13
AI Analysis & Value Prop
In the current industrial landscape, the quality control of manufacturing processes is critical, especially in electronic assembly. One of the major challenges is ensuring the correct installation of screws on mobile motherboards, where missing, incorrect, or stripped screws can lead to significant product failures. 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 inspection systems by providing a comprehensive collection of labeled images that reflect various screw conditions. The dataset was collected using high-resolution cameras in a controlled factory environment, ensuring consistent lighting and focus. Quality control measures included multi-round annotations, consistency checks among different annotators, and expert reviews to validate the labels. The images are stored in JPG format and organized into structured directories based on categories of screw status.
Dataset Insights
Sample Examples
446be93b**.jpg|1280*1672|234.49 KB
70225203**.jpg|1280*1666|249.55 KB
3aa33ae6**.jpg|1280*1672|196.14 KB
679f3fe7**.jpg|1280*1706|602.00 KB
42a9cb1d**.jpg|1280*1706|405.74 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| screw_count | int | The actual number of screws detected on the phone motherboard. |
| screw_position | string | The detected position information of the screw in the image. |
| screw_type | string | The type or specification of the screw. |
| screw_color | string | The color of the detected screw. |
| screw_head_type | string | The type of screw head, such as Phillips, flathead, etc. |
| anomaly_detected | boolean | Whether an anomaly is detected in the image, such as a missing or misaligned screw. |
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 |
Frequently Asked Questions
- In which industrial scenarios is this dataset primarily used?
- The Mobile Motherboard Screw Detection Dataset is primarily used in quality control within industrial automation, assisting in identifying missing, incorrect, and stripped screws on mobile motherboards.
- What type of machine learning models can be trained using this dataset?
- This dataset can be used to train object detection models, such as YOLO and Faster R-CNN, to accurately identify and detect screw issues on mobile motherboards.
- What are the potential technical challenges in using this dataset?
- Potential technical challenges include handling complex backgrounds in images, diversity in screw locations, and the impact of angular variations on detection accuracy.
- What are the advantages of this dataset in industrial inspection?
- The dataset provides high-precision annotated data, which can significantly improve the accuracy of machine learning models, thereby enhancing efficiency in production line quality control.
- How is the industry adaptability of this dataset?
- This dataset is suitable for any manufacturing industry requiring high-precision screw detection, especially in environments involving the assembly and production of consumer electronics.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Mobile Motherboard Screw Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/a16b957dc4c298933498b1a3ada6a4d3?dataset_scene_id=2},
urldate={2025-08-28},
keywords={screw detection dataset,mobile motherboard screws,industrial quality control,image dataset for inspection},
version={1.0}
}Using this in research? Please cite us.
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