АНАЛІЗ СУЧАСНИХ ТЕНДЕНЦІЙ У СФЕРІ ТЕХНОЛОГІЙ КЛАСИФІКАЦІЇ ЗОБРАЖЕНЬ

In the digital world, images play a key role in visual communication. Image recognition and classification supported by artificial intelligence are becoming increasingly important tasks. Efforts are being made to improve algorithms and reduce computational costs. Transfer Learning and TensorFlow contribute to solving classification problems. Methods of interpreting the results help to understand the solutions of the models. The future of classification technologies promises development in the directions of 3D images, virtual reality and real-time data processing.