The effectiveness of image recognition modules: analysis and prospects

The article explores the significance and effectiveness of image recognition modules in the modern world of research and technology. It covers key achievements and development prospects in this area, focusing on modern deep learning methods, including Convolutional Neural Networks (CNNs), classifier ensembles, and boosting algorithms. Additionally, it discusses methods for recognizing text in images using contemporary neural network architectures. The article also addresses challenges faced by researchers, such as processing low-quality images, and suggests development prospects, including self-learning neural networks and integration with IoT systems. In conclusion, it emphasizes the ongoing improvement in image recognition efficiency due to new research and developments in artificial intelligence.