increase Computer Vision Project

NCKU

Updated 2 years ago

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Classes (6)
date
id
invoice_number
tax
total
untaxed
Description

Here are a few use cases for this project:

  1. Expense Management: The "increase" model can be used to extract important information from receipts and invoices in order to automate the process of expense tracking and reimbursement for businesses and individuals. Users can quickly upload images of receipts, and the model will identify and categorize the relevant information, making expense reports and budget tracking simpler and more efficient.

  2. Tax Preparation: By identifying untaxed and tax items on receipts and invoices, the "increase" model can assist users in calculating their tax obligations and deductible expenses. This can simplify the tax filing process and ensure users are accurately adhering to tax regulations.

  3. Inventory Management: The identification of invoice numbers, dates, and item totals on receipts can be used to streamline the inventory management process. The "increase" model can be integrated into inventory management systems to monitor stock levels, sales trends, and incoming shipments with real-time data that reduces manual data entry.

  4. Fraud Detection: The "increase" model's ability to detect ID and invoice numbers can be used as part of a fraud detection system. By comparing input data from receipts and invoices against existing records, irregularities can be detected and flagged, helping to reduce instances of fraud and protect businesses from financial loss.

  5. Document Archiving and Retrieval: The "increase" model can be used to organize and categorize digital images of receipts and invoices within a document management system. By identifying key information such as invoice numbers, dates, and totals, it can help users search for and find specific documents quickly and easily, saving time and improving overall workflow efficiency.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            increase_dataset,
                            title = { increase Dataset },
                            type = { Open Source Dataset },
                            author = { NCKU },
                            howpublished = { \url{ https://universe.roboflow.com/ncku-j7zpg/increase } },
                            url = { https://universe.roboflow.com/ncku-j7zpg/increase },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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