Written in the front:
First of all, thank you brothers for subscribing, which gives me the motivation to create. I will do my best during the creation process to ensure the quality of the work. If you have any questions, you can private message me. Let us work together to create brilliance.
Although the road is long, it will come soon; though it is difficult, it will be accomplished. As long as you have the ambition of Yugong to move mountains, the perseverance to wear water through rocks, keep your feet on the ground, work hard, and accumulate steps even thousands of miles, you will be able to turn the grand goal into a beautiful reality.
Get the code and data set at the end of the article, please see the detection effect first:
1. Introduction
Road infrastructure is a vital public asset. In recent years, the speed of road construction in my country has increased rapidly, and almost every village has been connected to roads. It is conducive to economic development and growth, and at the same time brings important social benefits. It connects communities and businesses and provides education, employment, social and health services. However, due to factors related to location, age, traffic volume, weather, engineering solutions, and materials used to build the pavement, the pavement will wear and deteriorate over time, with problems such as potholes, which are extremely dangerous for cars traveling at high speeds, and can easily lose their balance and cause traffic accidents. Some studies have shown that the accident rate increases as the roughness of the road surface increases. Therefore, how to better maintain the long-term stable operation of urban road surfaces has become a top priority for urban transportation departments. Applying the method of target detection to road pothole detection has strong practical application value and important significance.
2. Dataset
665 pictures, 665 xml files.