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Brightness helps CNN classify a subset of the images from Google Quick Draw
Serena F.
We made a CNN that learned to recognize and classify sketches from Google’s Quick Draw dataset and implemented a novel brightness feature to test if it increased the accuracy.
We made a CNN that learned to recognize and classify sketches from Google’s Quick Draw dataset and implemented a novel brightness feature to test if it increased the accuracy. The results displayed up to a 4% increase in validation accuracy. To conduct experiments, we created 3 models, 1 with brightness and two without. In addition, we used different numbers of epochs, metalayers, kernels, and sizes of kernels and dropouts.
Serena F.
Clayton Greenberg
Teaching Professor from UPenn
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