README.md

metadata

task_categories:
  - object-detection
tags:
  - roboflow
  - roboflow2huggingface
  - Documents

Dataset Labels

['bordered', 'borderless']

Number of Images

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

How to Use

• Install datasets:

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.