PdfLayoutDetection Object Detection Dataset and Pre-Trained Model by Abhijith M

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Explore Dataset

Here are a few use cases for this project:

Document Management Systems: PdfLayoutDetection can be used in document management systems to classify and organize pdf files based on their layout. This makes it easy to search and retrieve documents, improving efficiency.
Text Extraction and Editing Tools: Tools that extract or edit text from pdfs can use PdfLayoutDetection to better maintain the layout of the original document. This ensures accuracy when translating the pdf content to other formats like Word or HTML.
Accessibility Tools: PDF reading software for visually impaired users can apply PdfLayoutDetection to better interpret documents. The model can guide the tool’s reading direction, ensuring it presents the information in the same order as it appears in the document.
Automated Publishing: In automated ebook or report creation, PdfLayoutDetection can help determine the most appealing or standard layout formats, improving readability and aesthetics.
Research and Study: PdfLayoutDetection can be used to study design trends in academic papers or books. By detecting layout patterns, researchers can gain insights on common layout preferences or correlations between layout and readability.

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{
                            pdflayoutdetection_dataset,
                            title = { PdfLayoutDetection Dataset },
                            type = { Open Source Dataset },
                            author = { Abhijith M },
                            howpublished = { \url{ https://universe.roboflow.com/abhijith-m-czikf/pdflayoutdetection } },
                            url = { https://universe.roboflow.com/abhijith-m-czikf/pdflayoutdetection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }