What is the YOLO algorithm? | Introduction to You Only Look Once, Real-Time Object Detection

Originally published on louisbouchard.com, read it 2 days before on my blog!

https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/

YOLO, Also Known as You Only Look Once is one of the most powerful real-time object detector algorithms. It is called that way because unlike previous object detector algorithms, like R-CNN or its upgrade Faster R-CNN it only needs the image (or video) to pass one time through its network.

https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/

These old methods were successively examining several regions of the image to find the objects present in it. YOLO changed that by reasoning at the level of the overall image. To do so, YOLO uses a unique neural network using the characteristics of the entire image to predict multiple boxes, each containing a specific object. All this simultaneously.