Object Detection Algorithm

Object detection algorithms aim to automatically identify and locate objects within images or videos, a crucial task with broad applications. Current research emphasizes improving accuracy and efficiency, particularly for small or occluded objects, using architectures like YOLO and its variants, as well as exploring novel approaches such as Spiking Neural Networks for specialized hardware and transformer-based methods leveraging only label information. These advancements are driving progress in diverse fields, including autonomous driving, assistive technologies for the visually impaired, and industrial quality control, by enabling more robust and reliable perception systems.