YOLO-Fastest

YOLO-Fastest is a real-time object detection algorithm that is based on the You Only Look Once (YOLO) architecture. It was developed by researchers at the University of Science and Technology of China and was released in 2019.

YOLO-Fastest is designed to be faster than other YOLO-based algorithms while maintaining high accuracy. It achieves this by using a lightweight network architecture that reduces the number of parameters and computation required for object detection.

In addition, YOLO-Fastest uses a novel feature extraction method called SPP-Block, which reduces the resolution of feature maps while preserving spatial information. This allows for faster processing without sacrificing accuracy.

Overall, YOLO-Fastest is a highly efficient object detection algorithm that can be used in real-time applications such as autonomous driving, surveillance systems, and robotics.