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YOLO v4: Fast Object Detection Model by xadafe9719 is a document available to read on EtoBox.

YOLO (You Only Look Once) is a prominent object detection framework designed for fast and efficient real-time processing. The paper aims to develop an object detection model suitable for various applications, including self-driving cars and surveillance systems. Key contributions include the creation of an efficient model, verification of state-of-the-art training methods, and modifications for improved performance on single GPUs.

Author
xadafe9719
Language
EN