2025/01/07 by Saydazimov, Javlonbek, Atadjanova, Nozima
paper · doi:10.34920/icdgpdt.46
Object detection is a fundamental task in computer vision, combining image classification and localization to detect multiple objects in a scene. With advances in artificial intelligence (AI), object detection algorithms have transitioned from traditional handcrafted techniques to sophisticated deep learning methods. This paper explores various object detection algorithms, methodologies, and their performance on benchmark datasets, providing insights into their strengths, limitations, and future potential.