ICPR 2020 Competition on HArvesting Raw Tables (ICPR-2020-CHART-UB_PMC) (ICPR2020-CHART-Info)
Chart Image Classification
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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.
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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