engleski

Classification Using Simplified VGG Model

From the need to show vast amount of data in a more transparent way, data visualization is created. Data visualization often contains key information that is not listed anywhere in the text and allows the reader to find out important information and longer-term memory. On the other hand, Internet search engines have a problem with filtering data visualization and associating visualization and the query that the user has entered. With the use of data visualization, all blind people and people with impaired vision are left off. This paper uses machine learning for classifying charts in 10 categories. Total accuracy achieved across all categories is 81.67%.

Visualization, Chart Image Classification, Convolutional Neural Networks, Chart Recognition

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