One Call Away Group

Shipping Labels

Object Detection

Shipping Labels Computer Vision Project

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Here are a few use cases for this project:

  1. Automated Package Sorting: Utilize the "Shipping Labels" computer vision model in automated package sorting systems, helping distribution centers to quickly and accurately separate parcel types based on the shipping labels, routing them efficiently to their next processing step or delivery location.

  2. Package Tracking Management: Integrate the "Shipping Labels" model into logistics systems to facilitate package tracking management. By scanning and identifying different categories of shipping labels, it becomes easier to monitor the progress of each parcel, update tracking statuses, and predict delivery times.

  3. Customs and Border Control: Implement the "Shipping Labels" model in customs and border agencies, allowing for the quick identification of international shipping documents, hazardous labels, and other critical information, thus streamlining the processing of incoming and outgoing shipments.

  4. Shipping and Logistics Solution Providers: Incorporate the "Shipping Labels" model into software solutions for shipping and logistics industries, aiding businesses in rapidly processing their courier services and handling complex supply chain demands.

  5. Customer Service and Support: Improve customer service in courier companies by utilizing the "Shipping Labels" model to swiftly identify the type of addressed shipping label during communication with customers. It can help provide accurate information about shipping rates, delivery estimates, and issue resolution in a more timely manner.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ shipping-labels-gmavj_dataset,
    title = { Shipping Labels Dataset },
    type = { Open Source Dataset },
    author = { One Call Away Group },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { oct },
    note = { visited on 2023-12-10 },

Find utilities and guides to help you start using the Shipping Labels project in your project.

Last Updated

a year ago

Project Type

Object Detection




DHL Archive Doc-4x6, DHL-4x6, FedEx-4x6, Hazardous Label, Informational Label, International Shipping Document, Packing Slip, Shipping Receipt, UPS High Value Report, UPS-4x6, UPS-4x6-AmazonMobileDistorted, USPS-4x6, USPS-Letter

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