Industrial Parts Labeling and QR Code Recognition Dataset
V1.0Latest Update: | 2025-10-15 | Samples: | 25000 records |
Samples: | 25000 records | ||
File Size: | 3.2G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | Production Line Logistics Traceability | Incoming Material Information Verification | ||
Applications: | Object Detection | Image Classification | ||
Brief Introduction
The current industrial sector faces challenges in logistics traceability and material verification, leading to inefficiencies and errors that can compromise production quality. Existing solutions often lack robust data integrity and real-time tracking capabilities. The Industrial Parts Labeling and QR Code Recognition Dataset aims to address these issues by providing a comprehensive collection of labeled images and QR codes that can enhance the accuracy of machine learning models in recognizing and verifying industrial components. Data is collected through high-resolution imaging devices in controlled production environments, ensuring clarity and detail. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to maintain high data standards. The dataset is organized in JPG format, with images labeled and categorized for ease of access.
Sample Examples
| Image | File Name | Resolution | QR Code Type | QR Code Content | Label Text | Label Language | Target Quantity | Target Type | Background Color | Foreground Color | Surface Reflectivity | Damage Condition |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 | 2b8e27d9db3945324fb354990214bfb8.jpg | 1778*800 | QR code | Content unclear | Environmental information label/product nameplate Comply with national GB 20891-2014 Phase IV standards Engine model: 4Y7-4B8 Manufacturer name: applicable to actual vehicles Production plant address: Shanghai Pudong Exhaust pollutant emission standards: China IV ECU manufacturing: joint design, optimized structure ... | Chinese | 3 | label, QR code | red | black, white | non-reflective | intact |
 | b29dbb4225b2346e5a655fe45fd94fcc.jpg | 1242*1656 | Code 128 | 678955002552025 | Part number (PART#) 23860386P Quantity (QTY): 1EA13347 Part name: left side outer panel PART NAME PANEL-BODY SI OTR FRT SAICGM-Wuling Automobile Co. Ltd. MADE IN CHINA Add:18.Hex Road Luzhou, GuangXi PR China P.C: 545007 Tel:5696685060 | Chinese | 2 | label, barcode | brown | white, black | non-reflective | intact |
 | eeab288cf080c60e74d5fdd452db4794.jpg | 1600*900 | QR code | No specific content provided | 4444444 | Numbers | 2 | label, QR code | black | white, black | slightly reflective | intact |
 | 7612bc9f67e49dc4658132e1fcbd44ff.jpg | 992*1047 | QR code | Unable to identify specific content | D00225929 | English letters | 2 | label, QR code | grey white | black | slightly reflective | intact |
 | aa1e941c6e5ee97c7d67b24c2491f03c.jpg | 1920*2560 | QR Code | Unclear | VASEN Brand (Weixing China) 400-966-2312 New Patent | Chinese | 1 | Label, QR Code | Blurred, Multicolor | White and Orange | Non-reflective | Intact |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| barcode_type | string | The type of QR code in the image, such as QR code, Code 128, etc. |
| barcode_content | string | The specific content information of the QR code in the image. |
| label_text | string | The text content displayed on the label in the image. |
| label_language | string | The language type of the label text in the image, such as Chinese or English. |
| object_count | int | The total number of identifiable industrial part labels and QR code objects in the image. |
| object_type | string | The type of target detected in the image, such as labels or QR codes. |
| background_color | string | The main color of the image background. |
| foreground_color | string | The main color of the image foreground, such as the color of labels or QR codes. |
| surface_reflection | string | The reflective characteristics of the object surfaces in the image, such as non-reflective, slightly reflective, or highly reflective. |
| damage_status | string | Whether industrial parts or labels in the image are damaged, such as intact, slightly damaged, or severely damaged. |
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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