Datasetpublic

keremberke/table-extraction

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… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/table-extraction.

sourceHugging Faceupdated 4y agoView on Hugging Face

30likes149downloads

Dataset Card

Dataset Labels

['bordered', 'borderless']

Number of Images

json

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

How to Use

—Install datasets:

bash

pip install datasets

—Load the dataset:

python

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.