Semantic segmentation of soccer robot machine vision

This article mainly takes the visual semantic segmentation of soccer robots as the background, introduces the development history of intelligent football, and explains the importance of machine vision. Firstly, the dataset is introduced, as well as the data processing and enhancement functions. Then, the model construction and architecture are introduced. The focus of this article is on using the model, replacing the optimizer, changing the model architecture, adding modules, and other methods to enhance the accuracy of model image recognition. It includes explanations and comparisons of various models and optimizers. Explained the operation and significance of enhancement methods, attention mechanisms, and freezing layers. The purpose is to improve training effectiveness through these operations. As expected, the accuracy has been improved.