YOLO (You Only Look Once)
A real-time object detection algorithm that processes images in a single evaluation, enabling rapid and accurate identification of multiple objects within an image.
YOLO (You Only Look Once)
A real-time object detection algorithm that processes images in a single evaluation, enabling rapid and accurate identification of multiple objects within an image.
YouTube Video: YOLO (You Only Look Once)
A real-time object detection algorithm that processes images in a single evaluation, enabling rapid and accurate identification of multiple objects within an image.
YOLO (You Only Look Once)
SKU: yolo-you-only-look-once
YOLO (You Only Look Once) is a series of real-time object detection algorithms that utilize convolutional neural networks to detect and classify multiple objects within an image or video frame in a single evaluation. Introduced by Joseph Redmon et al. in 2015, YOLO reframes object detection as a single regression problem, significantly enhancing detection speed and accuracy compared to traditional methods. Over successive versions, YOLO has evolved to improve performance, efficiency, and adaptability, becoming a cornerstone in computer vision applications such as autonomous driving, surveillance, and robotics.