---
language:
- en
task_categories:
- object-detection
tags:
- finance
- table
- structured table
- unstructured table
- documents
pretty_name: TableBorderNet
size_categories:
- 1K<n<10K
---

```
# Dataset Card for Table Detection Dataset

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

### Dataset Summary

The Table Detection Dataset contains images of tables, categorized into 'bordered' and 'borderless' classes. The dataset is provided in YOLO format and aims to support research and development in table detection.

### Supported Tasks and Leaderboards

The dataset is intended for the task of table detection, specifically distinguishing between tables with borders ('bordered') and tables without borders ('borderless').

### Languages

The dataset primarily contains images with associated annotations in YOLO format.

## Dataset Structure

### Data Instances

The dataset includes various instances of images containing tables, each labeled with class annotations.

### Data Fields

The data fields in each annotation include class label ('bordered' or 'borderless') along with bounding box coordinates.

### Data Splits

The dataset is provided as a unified collection without predefined data splits.

## Dataset Creation

### Curation Rationale

The dataset was created to address the need for a comprehensive table detection dataset with a focus on border classification.

### Source Data

#### Initial Data Collection and Normalization

The source data was collected and normalized to create a diverse collection of table images.

#### Who are the source language producers?

The dataset was curated by FODUU AI.

### Annotations

#### Annotation process

Annotations were created using YOLO format, providing class labels and bounding box information.

#### Who are the annotators?

Annotations were carried out by experts at FODUU AI.

### Personal and Sensitive Information

The dataset does not contain personal or sensitive information.

## Considerations for Using the Data

### Social Impact of Dataset

The dataset's usage can contribute to advancements in table detection technology, benefiting fields such as document analysis, data extraction, and more.

### Discussion of Biases

No specific biases have been identified in the dataset.

### Other Known Limitations

The dataset may have limitations in terms of the diversity of table designs and backgrounds.

## Additional Information

### Dataset Curators

Curated by FODUU AI.

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [FODUU AI](https://www.foduu.com/) for providing this dataset.
```