Pothole recognition using convolution neural networks and transfer learning

Potholes have been and still are a huge problem for every walk of life. There many deaths accidents reported daily due to that very problem. For reason, pothole recognition comes into the picture. To maintain preserve road, it is vital detect potholes. It also helps in prevention accidents. Roads play an important part day-to-day transportation person around world. But quality roads decreases drastically way usage aging. The existing methods take much time manpower repair damaged areas. entire process slowing down just because expert team checking whether there at location or not. So, if we automate detection potholes from set images particular appropriately alerting authorities with amount damage, speeds up exponentially. We must solve major by using machine learning algorithms. This paper will discuss convolution neural network-based transfer learning-based solution recognition.