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keremberke/table-extraction

Dataset Labels

['bordered', 'borderless']

Number of Images

{'test': 34, 'train': 238, 'valid': 70}

How to Use

pip install datasets
  • Load the dataset:
from datasets import load_dataset

ds = load_dataset("keremberke/table-extraction", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/mohamed-traore-2ekkp/table-extraction-pdf/dataset/2

Citation


License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.com on January 18, 2023 at 9:41 AM GMT

Roboflow is an end-to-end computer vision platform that helps you

  • collaborate with your team on computer vision projects
  • collect & organize images
  • understand and search unstructured image data
  • annotate, and create datasets
  • export, train, and deploy computer vision models
  • use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset, visit https://github.com/roboflow/notebooks

To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com

The dataset includes 342 images. Data-table are annotated in COCO format.

The following pre-processing was applied to each image:

  • Auto-orientation of pixel data (with EXIF-orientation stripping)

No image augmentation techniques were applied.

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