Vosco Pereira, S. Tamura, S. Hayamizu, Hidekazu Fukai
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A Deep Learning-Based Approach for Road Pothole Detection in Timor Leste
This research proposes a low-cost solution for detecting road potholes image by using convolutional neural network (CNN). Our model is trained entirely on the image which collected from several different places and has variation such as in wet, dry and shady conditions. The experiment using the 500 testing images showed that our model can achieve (99.80 %) of Accuracy, Precision (100%), Recall (99.60%), and F-Measure (99.60%) simultaneously.
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