dataset-009 Object Detection Dataset and Pre-Trained Model by abc

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Explore Dataset

Here are a few use cases for this project:

"Automated Data Extraction": The model could be used in applications that automatically extract data from scanned documents or photos of tables. It could help convert physical or image-based data into digital, machine-readable formats.
"Intelligent Document Processing": Enterprises dealing with large volumes of documentation, such as in legal, financial, or administrative sectors, could use it for Intelligent Document Processing. The model can help identify table structures within documents, improving the efficiency of information processing and extraction.
"Accessibility Applications": It can be used to develop software that makes charts and tables in documents more accessible for individuals with visual impairments. For instance, by understanding table structures, the software could translate the information into a verbal format.
"Academic Research": Researchers can use the model to digitize archives of printed datasets or tabulated information, facilitating data usage in studies across various fields such as economics, sociology, or medical research.
"Quality Assurance in Printing Industry": The model could be used in the printing industry to check the accurate printing and alignment of tables in books, magazines, or official documents before mass production. It could identify inconsistencies in columns, rows, headers, or footers.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ dataset-009_dataset,
    title = { dataset-009 Dataset },
    type = { Open Source Dataset },
    author = { abc },
    howpublished = { \url{ https://universe.roboflow.com/abc-goqux/dataset-009 } },
    url = { https://universe.roboflow.com/abc-goqux/dataset-009 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { nov },
    note = { visited on 2023-12-09 },
}