Data Extraction from Charts via Single Deep Neural Network
Table 4: Accuracy of pie chart prediction in Simulated (Simul), FigureQA (FigQA), annotated (Annot) and Excel pie chart data sets
['Object', 'Simul', 'FigQA', 'Annot', 'Excel']
Different from bar charts, we define a 2-tuple to represent the prediction of each slice in a pie chart, (legend, percentage). The error for pie charts is defined as: Error=|Percentagepred−PercentageGT|PercentageGT. (9) The results show a great success on the FigureQA data set since their pies have less variance and are included in our training data set. The whole accuracy for the Annotated data set is much worse than the other two data sets because the accurate prediction of percentage of slices is hard, although it gets a high accuracy of 77.8% for percentage prediction in the Annotated data set with less than 5% errors.