Table Cell Detection Object Detection Dataset and Pre-Trained Model by iitbresearchwork

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Explore Dataset

Here are a few use cases for this project:

Document Digitization: The model could be used in digitizing printed documents like reports, invoices, or forms into a structured format. It can quickly identify and categorize data from tables, reducing the manual effort in data entry.
Automated Data Extraction: Companies dealing with a lot of tabular data (like Financial Statements, Experimental Results, etc.) can leverage the model to extract information from various sources automatically. It can identify the cells in a table from scanned images or PDFs and convert them into editable formats like Excel.
Quality Control in Printing Industries: The "Table Cell Detection" model can be used in quality control in printing industries. It would be helpful in identifying any misprints or errors in table cells before the final print or distribution.
Accessibility for Visually Impaired: This model can be used in creating software that aids visually impaired individuals to understand tabular data on documents. The software can identify cells, read out the contents, making it more accessible for them.
Automated Grading System: In education, the model can be implemented in an automated grading system, where it extracts answers written in table-cells from examination papers. It can compare the extracted answers with the answer key to score the student's performance.

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{
                            table-cell-detection_dataset,
                            title = { Table Cell Detection Dataset },
                            type = { Open Source Dataset },
                            author = { iitbresearchwork },
                            howpublished = { \url{ https://universe.roboflow.com/iitbresearchwork/table-cell-detection } },
                            url = { https://universe.roboflow.com/iitbresearchwork/table-cell-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-06-21 },
                            }