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tags:
- Object Detection
- Image Classification
- Mold Assembly
- Precision Alignment Inspection
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Precision Locating Pin Inspection Dataset
size_categories:
- 1B<n<10B
---
# Precision Locating Pin Inspection Dataset
The current industrial sector faces significant challenges in ensuring the precision of mold assembly and alignment processes, which are crucial for product quality. Existing solutions often fall short due to the variability in human inspection and the limitations of traditional measurement tools. This dataset aims to address the need for automated quality control solutions by providing high-quality images of precision locating pins along with their inspection labels. The data is collected using high-resolution cameras in controlled environments, ensuring consistent lighting and focus. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to maintain high labeling accuracy. The dataset is organized in a standard JPG format, structured in folders categorized by inspection results. The collection process involves capturing images from various angles and conditions to ensure robustness.
## Technical Specifications
| Field | Type | Description |
| :--- | :--- | :--- |
| file_name | string | File name |
| quality | string | Resolution |
## Compliance Statement
<table>
<tr>
<td>Authorization Type</td>
<td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
</tr>
<tr>
<td>Commercial Use</td>
<td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
</tr>
<tr>
<td>Privacy and Anonymization</td>
<td>No PII, no real company names, simulated scenarios follow industry standards</td>
</tr>
<tr>
<td>Compliance System</td>
<td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
</tr>
</table>
## Source & Contact
If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/0d007faec87bdd2dc825a6e82c57fb61?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com
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