Industrial Parts Packaging Detection Dataset
V1.0Latest Update: | 2025-10-11 | Samples: | 15000 records |
Samples: | 15000 records | ||
File Size: | 3.2G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Warehouse Management | Quality Inspection | Anomaly Detection | ||
Applications: | Object Detection | Image Classification | ||
Brief Introduction
The current industrial sector faces significant challenges in managing packaging quality and detecting anomalies in warehouse operations. Existing solutions often rely on manual inspections, which can be time-consuming and prone to human error. This dataset aims to address the need for automated detection of packaging defects, thereby improving efficiency and accuracy in warehouse management. The dataset has been constructed using images captured from various warehouse environments using high-resolution cameras, ensuring a diverse representation of packaging types. Quality control measures included multi-stage annotations, consistency checks among annotators, and reviews by industry experts to ensure high-quality labels. The images are stored in JPEG format, organized in directories based on their respective classes to facilitate easy access and processing.
Sample Examples
| Image | File Name | Resolution | Part Type | Material Type | Defect Presence | Defect Type | Dimension Measurement | Packaging Condition | Color Information | Surface Texture | Object Quantity | Orientation |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 | ef281f461e384f4f595259d41c9a2987.jpg | 3960*2416 | Carton | Cardboard | No Apparent Defect | Not Applicable | Not Measurable | Intact | Brown | Smooth, Due to Plastic Film Wrapping | Multiple Boxes | Neatly Vertically Stacked |
 | fc96425ea044c9cad96975ca1aa15b37.jpg | 1260*963 | Spray Paint Gun | Cardboard Box | No | None | Unknown | Intact | Yellow, Red, Blue | Smooth | 1 | Placed at an Angle |
 | 9acef1fd86ea2186ab01fb9684973b51.jpg | 1067*800 | Carton | Cardboard | No | None | Not Estimable | Intact | Brown | Smooth | Multiple | Vertically Arranged |
 | 09520187ea15e1db9b234bb21012816f.jpg | 1268*1690 | Packaging material | Cardboard | No | None | Unknown | Intact | Orange and grey | Smooth | 1 | Facing up |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| part_type | string | The specific type of industrial part, such as screws, nuts, etc. |
| material_type | string | The material of the industrial part or packaging, such as metal or plastic. |
| defect_presence | boolean | Whether there are any visible defects in the image. |
| defect_type | string | If defects are present, what specific type they are, such as scratches or cracks. |
| dimension_measurements | string | Measurement data for the length, width, height, etc., of parts or packaging. |
| package_condition | string | The condition of the packaging materials, such as intact or damaged. |
| color_info | string | The color of the parts or packaging materials in the image. |
| surface_texture | string | Information about the surface texture of parts or packaging materials. |
| object_count | int | The number of industrial parts or packaging materials detected in the image. |
| orientation | string | The placement direction of the object in the image. |
Compliance Statement
| Item | Content |
|---|---|
| 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 |
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