9th International Conference on ICT for Sustainable Development

Authors - Nishi, Rohit Pujar, Abdul Kareem, Amogh G Goni, V.V.Hosallimath
Abstract - In the pursuit of a cutting-edge solution for real-time object identification, YOLOv8 emerges as an innovative choice. Distinguished from other approaches, this state-of-the-art solution excels in achieving an optimal equilibrium between speed and accuracy. YOLOv8 accomplishes this through the implementation of an advanced network architecture, a groundbreaking anchor-free detection methodology, carefully crafted training approaches, and a streamlined decoupled head strategy. The utilization of YOLOv8 promises accurate and rapid outcomes, particularly in demanding scenarios.