Barcode Recognition Image Dataset
#image classification #object detection #pattern recognition #barcode recognition #security monitoring #image processing
- 500 records
- 1.3G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the field of security protection, accurately recognizing and processing barcodes to protect information security is a significant challenge. Traditional solutions perform poorly when dealing with complex backgrounds and low-quality images, necessitating efficient image recognition techniques to improve recognition accuracy and efficiency. This dataset aims to enhance the performance and reliability of barcode recognition systems. Data collection relies on high-resolution image sensors, and the data is collected through on-site scanning equipment in various environments to ensure diversity. Quality is ensured through three rounds of annotation, consistency checks, and expert reviews. The annotation team consists of 10 image recognition professionals. In data preprocessing, denoising, grayscale balancing, and scale transformation techniques are applied, with final storage in JPG format, organized by category directories and index.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| barcode_type | string | The specific encoding standard of the barcode, such as UPC, EAN, or QR code. |
| barcode_value | string | The numerical or alphanumeric code represented by the barcode. |
| barcode_position | string | The specific position of the barcode in the image, such as top-left or top-right. |
| barcode_orientation | string | The orientation of the barcode in the image, such as horizontal or vertical. |
| barcode_visibility | string | Whether the barcode is clearly visible in the image. |
| background_complexity | string | The complexity of the image background, such as simple or complex. |
| lighting_conditions | string | The lighting conditions during the capture, such as optimal, too dark, or too bright. |
| image_clarity | string | The clarity of the image, such as clear or blurry. |
| distortion_level | string | Whether there is distortion in the image and the level of distortion. |
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 barcode recognition applications can this dataset be used for?
- This dataset can be used for applications like retail item scanning, inventory management, and e-commerce platform logistics tracking.
- What types of barcodes are included in the barcode recognition image dataset?
- The barcode recognition image dataset may include various types of barcode images, such as 1D barcodes and QR codes.
- How does this data support the development of barcode scanners?
- By providing a large number of barcode images, this dataset can assist developers in training and optimizing barcode scanner recognition algorithms, enhancing their accuracy and speed.
- How does the image quality in the dataset affect recognition performance?
- High-quality images can help improve the accuracy of recognition algorithms, while low-quality or blurry images may lead to recognition errors and require preprocessing to improve results.
- Can this dataset be used for barcode recognition in international markets?
- As long as the dataset includes internationally accepted barcode formats, it can be used to support barcode recognition applications in international markets.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Barcode Recognition Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/f2ddc54d4f4d49a261e2c953dfd26bcf},
urldate={2026-02-04},
keywords={barcode recognition dataset, image processing dataset, security dataset},
version={1.0}
}Using this in research? Please cite us.
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