Name: Ticket Detection Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Expense Management: This model can be used to automate the process of capturing and categorizing data from various expenses such as invoices, receipts, tolls, and travel tickets. Users can simply take a photo of the document and the model will identify and categorize the data, reducing the manual effort and potential for errors.
Travel Services: Travel agencies or services could use it to categorize different types of tickets (plane, train, taxi) from images or scanned documents, helping to automate the process of logging and tracking travel data for their customers.
Document Archiving and Retrieval: Companies dealing with a large volume of paperwork, such as law firms or accountancy firms, could use this model to categorize, archive and retrieve various documents like invoices, receipts, and certificates more efficiently.
Tax Audit: During tax audits, both by individuals or businesses, this model could be used to quickly and accurately organize financial documents including various invoices and receipts.
Logistics & Supply Chain: This model can be used to automate the process of tracking shipments or consignments by scanning and recognizing QR codes.

Cite This Project

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

@misc{
                            ticket-detection_dataset,
                            title = { Ticket Detection Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-vwyop },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-vwyop/ticket-detection } },
                            url = { https://universe.roboflow.com/new-workspace-vwyop/ticket-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-04-29 },
                            }