MixInvest_46 Computer Vision Project

test

Updated a year ago

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Classes (6)
customer
header
performer
sum_block
table text
Description

Here are a few use cases for this project:

  1. Document Data Extraction: Extract data from different types of documents like invoices, receipts, contracts, etc. The model can identify key elements such as customer names, headers, performed actions, and total costs (sum blocks), reducing manual data entry or data extraction.

  2. Document Classification & Organization: Automate classification and organization of large volumes of documents based on the identified text blocks. This could be used in an organization's document management system.

  3. Business Process Management: Use MixInvest_46 to streamline processes which involve document analysis and validation. This can include financial audits, invoice verification or property agreement processes.

  4. Legal Document Review: Review legal documents to identify key elements such as parties involved (customer/performer), terms of agreement (text), tables, headers, or overall sums. This could potentially increase the productivity of legal professionals.

  5. Data Compliance Search: Utilize the model to sort through large volumes of data/documents to determine if they meet compliance requirements. The model could identify if all necessary blocks (customer, text, table, etc.) are present to meet standard or specific compliance requirements.

Supervision

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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{
                            mixinvest_46_dataset,
                            title = { MixInvest_46 Dataset },
                            type = { Open Source Dataset },
                            author = { test },
                            howpublished = { \url{ https://universe.roboflow.com/test-2j0ce/mixinvest_46 } },
                            url = { https://universe.roboflow.com/test-2j0ce/mixinvest_46 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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