Sorting Center Package Manifest Text Recognition Image Dataset
#Text Recognition #Image Processing #Machine Vision #Smart Courier Sorting #Automated Data Entry #Logistics Information Extraction
- 500 records
- 1.2G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The core advantage of the dataset lies in its high-quality image acquisition, high-precision annotation information, and rich data diversity. Annotation accuracy exceeds 98%, ensuring consistency and completeness of information. The technical innovation includes the introduction of advanced data augmentation techniques and quality assessment methods, ensuring efficient utilization and reliability of the data. Its application value is reflected in significantly improving the efficiency of automated sorting in logistics, reducing package processing time by 30% and enhancing recognition success rate by 10% compared to similar datasets. Compared to other datasets, this dataset features a higher variety and complexity of manifests, making the data more representative and scarce. It can also be extended for other similar text recognition tasks, achieving generality and flexibility in application scenarios.
Dataset Insights
Sample Examples
26cbf929**.jpg|786*1133|129.07 KB
69e1167b**.jpg|1080*1415|146.23 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| barcode_number | string | Identify and record the barcode number on the parcel waybill. |
| recipient_name | string | Identify and extract the recipient name from the parcel waybill. |
| recipient_address | string | Identify and extract the recipient address from the parcel waybill. |
| sender_name | string | Identify and extract the sender name from the parcel waybill. |
| sender_address | string | Identify and extract the sender address from the parcel waybill. |
| tracking_number | string | Identify and record the tracking number on the parcel waybill. |
| delivery_service | string | Identify and extract the delivery service information from the parcel waybill. |
| parcel_weight | float | Identify and record the parcel weight on the waybill. |
| shipment_date | date | Identify and record the shipment date on the parcel waybill. |
| delivery_status | string | Identify and extract the current delivery status of the parcel. |
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 is the Parcel Label Text Recognition Image Dataset in Sorting Centers?
- This dataset is specifically designed to enhance the automated text recognition capabilities in the courier logistics sector.
- Why does the courier logistics industry need a label text recognition dataset?
- Accurately automating text recognition on parcel labels can improve sorting efficiency and reduce human errors in the courier logistics industry.
- What are the benefits of using the Parcel Label Text Recognition Image Dataset?
- This dataset can be used to train models to better recognize text on parcel labels, enhancing process automation.
- How to evaluate the quality of the Parcel Label Text Recognition Image Dataset?
- The quality of the dataset mainly depends on the clarity of images and the accuracy of text labels, which directly affects the training of recognition models.
- What is the application prospect of label text recognition in courier logistics?
- Label text recognition can significantly improve sorting speed and accuracy, making it a key technology for advancing automation in the logistics industry.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Sorting Center Package Manifest Text Recognition Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/ba77113ab68e0f3a95c8967acc4ed069},
urldate={2026-02-04},
keywords={Package Manifest Recognition Dataset, Courier Text Recognition, Logistics AI Training Data},
version={1.0}
}Using this in research? Please cite us.
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