Xerosum

OCR-trained

Object Detection

OCR-trained Computer Vision Project

Images

2224 images
Explore Dataset

Here are a few use cases for this project:

  1. Automating Accounting Processes: The OCR-trained model can be utilized in automating the input of invoice details into accounting software. This allows for quicker, more accurate data entry, reducing human error.

  2. Invoice Management Systems: OCR-trained can serve as a part of an advanced invoice management system that manages and organizes invoices from multiple vendors. This can simplify invoice tracking and payment processes.

  3. Compliance and Audit: This model can be used to verify the accuracy of invoice information for compliance and audit purposes. It can identify key details like date, total amount, vendor name, etc., which can then be compared against recorded transactions.

  4. Paperless Office Transition: Businesses seeking to transition to a paperless environment can utilize this model to digitize their existing paper invoices. This helps in efficient document management and promotes environmental sustainability.

  5. Data Extraction for Analytics: The model can also be employed to extract data from invoices for data analysis. This could help in building predictive models, analyzing spending patterns, and optimizing vendor selection.

Cite This Project

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

@misc{
                            ocr-trained_dataset,
                            title = { OCR-trained Dataset },
                            type = { Open Source Dataset },
                            author = { Xerosum },
                            howpublished = { \url{ https://universe.roboflow.com/xerosum/ocr-trained } },
                            url = { https://universe.roboflow.com/xerosum/ocr-trained },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-03-28 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the OCR-trained project in your project.

Source

Xerosum

Last Updated

a year ago

Project Type

Object Detection

Subject

invoices-info

Views: 106

Views in previous 30 days: 28

Downloads: 6

Downloads in previous 30 days: 2

License

CC BY 4.0

Classes

OMRON_address OMRON_name bill_to company_chop currency date invoice_no ship_to table total_amount vendor_name
'information of the invoice'
2232 images
2
TF
OCR
183 images
OCR
TF
OCR
202 images