A Comprehensive Analysis of Deep Learning Algorithms for Computer Vision Applications: Challenges, Trends, and Future Directions
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V1I1P101Keywords:
Deep Learning, AI, CNN, Computer vision, Data AugmentationAbstract
Deep learning has revolutionized the field of computer vision, enabling significant advancements in various applications such as image classification, object detection, semantic segmentation, and more. This paper provides a comprehensive analysis of deep learning algorithms for computer vision, focusing on the challenges, trends, and future directions. We begin by reviewing the foundational concepts of deep learning and their application in computer vision. We then delve into the current state-of-the-art algorithms, discussing their strengths and limitations. The paper also explores the challenges faced in the field, including data scarcity, model interpretability, and computational efficiency. Finally, we highlight emerging trends and propose potential future directions for research and development in deep learning for computer vision
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