Weekly Status Report 4/13/19

David Diao (dyd)

This week I worked on debugging the integration of Tushar and Jessie’s code in my backend. I also worked on the frontend so the user can check if the backend recognized their digits correctly. After that, the user can edit or submit their answer in order to see their result and move onto a new question.

 

Jessie Li

This week I worked on switching the dataset to MNIST and developed on and trained my CNN to work on the MNIST test set. The resulting accuracy is 98%, but while doing user testing, the accuracy seems somewhere around maybe 70%. This is perhaps related to how we are processing the image to classify; more testing is needed. I also helped Tushar work on his segmentation algorithm, writing a connected components finder in order to aggregate the labels found using the segmentation algorithm.

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