This session delves into computer vision algorithms, image processing techniques, and their applications in object detection, recognition, and medical imaging. Discussions will cover advancements in deep learning models for visual recognition tasks and address challenges in image understanding, such as occlusion and variability in lighting conditions. Computer vision plays a crucial role in autonomous vehicles, surveillance systems, and healthcare diagnostics. By discussing state-of-the-art research and real-world applications, this session aims to advance computer vision capabilities, promote interdisciplinary collaboration, and facilitate the integration of vision-based AI solutions into diverse industries.