The classification score will be from `0.0` to `1.0`, with`0.0` being the lowest confidence level and `1.0` being the highest if no object exists in that cell, the confidence scores should be `0.0`, and if the model is completely certain of its prediction, the score should be `1.0`. The default for this architecture is for the model to predict two bounding boxes. Each cell will predict B bounding boxes and a confidence score for each box. The cell in which the center of an object, for instance, the center of the dog, resides, is the cell responsible for detecting that object. Now that we have a general overview of YOLO, let’s take a look at how it really works. Additionally, YOLO can generalize the representations of various objects, making it more applicable to a variety of new environments. This halves the number of false-positive detections it makes over R-CNNs which look at different parts of the image separately. It looks at the entire image at once, and only once - hence the name You Only Look Once - which allows it to capture the context of detected objects. YOLOv1 referred to as just YOLO, can perform faster than real-time object detection at 45 frames per second, making it a great choice for applications that require real-time detection. Although the subsequent iterations feature numerous improvements, the basic idea behind the architecture stays the same. This article will only look at YOLOv1, the first of the many iterations this architecture has gone through.

It does this by repurposing traditional image classifiers to be used for the regression task of identifying bounding boxes for objects. As such, it is heavily optimized for detection performance and can run much faster than running two separate neural networks to detect and classify objects separately.

YOLO combines what was once a multi-step process, using a single neural network to perform both classification and prediction of bounding boxes for detected objects. YOLO or You Only Look Once, is a popular real-time object detection algorithm.

What happend to yolo