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

Research Tasks

Chart Image Classification

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.

Description

The goal of this task is to classify chart images by type. Given the chart image, methods are expected to output one of the following 15 classes: Area, Heatmap, Horizontal bar, Horizontal Interval, Line, Manhattan, Map, Pie, Scatter, Scatter-Line, Surface, Venn, Vertical Bar, Vertical Box, and Vertical Interval.

 

Protocol

The evaluation metric will be the average per-class F-measure. Based on the class confusion matrix, we can compute the precision, recall, and F-measure for each class. The overall score is the average of each classes' F-measure.

 

 

 

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