Training convolutional neural network models for object, scene and context recognition in images
Training convolutional neural network models for object, scene and context recognition in images Roman Orlov ORCID: https://orcid.org/0009-0001-2576-8513 Private Higher Educational Institution Kharkiv University of Technology “STEP” Serhii Taboranskiy ORCID: https://orcid.org/0009-0009-8349-8644 Private Higher Educational Institution Kharkiv University of Technology “STEP” Purpose. The study focuses on developing an optimized convolutional neural network (CNN) for detecting objects, scenes, and contexts in diverse images. It emphasizes improving the architecture, training methods, and performance of CNNs in computer vision tasks, which are essential for various …