ICPR 2020 Competition on HArvesting Raw Tables (ICPR-2020-CHART-UB_PMC) (ICPR2020-CHART-Info)

Ground Truth

Ground Truth for Chart Recognition

2021-01-09 (v. 1)

Contact author

Kenny Davila

University at Buffalo

kennydav@buffalo.edu

+504 97868084


This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.

Keywords

Image Classification, Text Detection, Text Recognition, Text Role Classification, Chart Axis Analysis, Chart Legend Analysis, Chart Recognition, Chart Data Extraction

Description

The ground truth contain information about multiple chart elements found in different chart images. This includes Chart Image Classes (the types of the charts); the location, content and role of different text regions found on the image; Bounding boxes, and tick mark locations with corresponding tick values for chart axes; chart legend information including legend entries, titles and corresponding data mark locations; and approximated data series with the corresponding data points which can be used to approximately reconstruct the chart. 

 

 

 

FileTypeSizeDownloadsDescription
release_ICPR2020_CHARTINFO_UB_PMC_TRAIN_v1.21.zipdata(708 MB)2ICPR 2020 - CHART-Infographics - UB PMC Training Dataset
release_ICPR2020_CHARTINFO_UB_PMC_TEST_v1.0.zipdata(665 MB)3ICPR 2020 - CHART Infographics - UB PMC Testing Dataset

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