star table Object Detection Dataset and Pre-Trained Model by teamStar

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Explore Dataset

Here are a few use cases for this project:

Automated Data Extraction: Use the "star table" model to extract data from scanned documents or photos of printed tables, such as financial reports or invoices, for easy digitalization and analysis.
Accessibility Enhancement: Use the model to identify and label tables in electronic formats for visually impaired users, making it easier for them to access and understand content through screen readers.
OCR Improvement: Integrate "star table" model with Optical Character Recognition (OCR) systems to improve their performance in areas like alignment, segmentation, and identification of tables within documents, leading to more accurate text extraction.
Document Indexing and Search: By accurately identifying tables and their structure, the "star table" model can be used to build detailed metadata for large document databases, leading to enhanced search functionality and a better user experience.
Data Validation: Use the model to automatically verify if the structure and formatting of tables in user-generated content such as reports, assignments, or articles adhere to the organization's guidelines or industry standards, flagging errors and offering suggestions for correction.

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{
                            star-table_dataset,
                            title = { star table Dataset },
                            type = { Open Source Dataset },
                            author = { teamStar },
                            howpublished = { \url{ https://universe.roboflow.com/teamstar/star-table } },
                            url = { https://universe.roboflow.com/teamstar/star-table },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-06 },
                            }