Competition on HArvesting Raw Tables (CHART) 2019-Synthetic (CHART2019-S)

2019-05-29 (v. 1)

Contact author

Christopher Tensmeyer

Adobe Research

tensmeye@adobe.com

408-536-6000

408-537-6000


This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
You can cite this dataset as: Christopher Tensmeyer, Competition on HArvesting Raw Tables (CHART) 2019-Synthetic (CHART2019-S) ,1,ID:CHART2019-S_1,URL:http://tc11.cvc.uab.es/datasets/CHART2019-S_1

Dataset Information

Dataset URL

https://chartinfo.github.io/

Keywords

Chart, Synthetic

Description


This is a dataset of chart images created from real data sources using matplotlib.  There are 4 basic types of charts: Bar, Line, Scatter, Box.  There are several tasks associated with this dataset including:

1) Chart Classification

2) Text Detection and Recognition

3) Text Role Classification

4) Axis Analysis

5) Legend Analysis

6a) Plot Element Detection and Classification

6b) Data Extraction

These tasks form a pipeline to recover the data used to generate the chart.

Task Pipeline

 

 

 

 

 

Later tasks take as input the ideal output of the previous tasks.

For more information, please visit https://chartinfo.github.io/

The dataset may be downloaded from https://github.com/adobe-research/CHART-Synthetic/releases

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Competition on HArvesting Raw Tables (CHART) 2019-Synthetic