Roboflow Universe Writers Information Invoice_Annotation

Invoice_Annotation Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

25 images

Explore Dataset

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{
                            invoice_annotation_dataset,
                            title = { Invoice_Annotation Dataset },
                            type = { Open Source Dataset },
                            author = { Writers Information },
                            howpublished = { \url{ https://universe.roboflow.com/writers-information/invoice_annotation } },
                            url = { https://universe.roboflow.com/writers-information/invoice_annotation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-06-18 },
                            }

Connect Your Model With Program Logic

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

supervision

Find utilities to work with this project in Python.

Roboflow Learn

Build the knowledge you need to evaluate and deploy your model.

Source

Writers Information

Last Updated

10 months ago

Project Type

Object Detection

Subject

Invoices

Views: 15

Downloads: 1

License

CC BY 4.0

Classes

Account Holder Name Account Number Amount chargeable Bank Name Buyer Address Buyer GSTIN Buyer Name Date IFSC Code Invoice Date Invoice No. Invoice Number PAN Number PO Date PO Number Ship To Address Ship To GSTIN Ship To Name Total Amount Total Job Vendor Address Vendor Email Vendor GSTIN Vendor Name Vendor Phone No.

Object Detection Model snap