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What Is Yolo V3?

Alexander Ross • • 6 min read
What Is Yolo V3?
YOLOv3 is the latest variant of a popular object detection algorithm YOLO – You Only Look Once. The published model recognizes 80 different objects in images and videos, but most importantly it is super fast and nearly as accurate as Single Shot MultiBox (SSD).

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Hereof, how does Yolo v3 work?

YOLO v3 predicts 3 bounding boxes for every cell. We expect each cell of the feature map to predict an object through one of it's bounding boxes if the center of the object falls in the receptive field of that cell. We then divide the input image into 13 x 13 cells.

Beside above, how fast is Yolo? The fastest architecture of YOLO is able to achieve 45 FPS and a smaller version, Tiny-YOLO, achieves up to 244 FPS (Tiny YOLOv2) on a computer with a GPU.

Furthermore, what's new in Yolo v3?

The newer architecture boasts of residual skip connections, and upsampling. The most salient feature of v3 is that it makes detections at three different scales. YOLO is a fully convolutional network and its eventual output is generated by applying a 1 x 1 kernel on a feature map.

Why is Yolo fast?

YOLO is orders of magnitude faster(45 frames per second) than other object detection algorithms. The limitation of YOLO algorithm is that it struggles with small objects within the image, for example it might have difficulties in detecting a flock of birds. This is due to the spatial constraints of the algorithm.

Related Question Answers

What is Yolo you only look once?

You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Pascal Titan X it processes images at 30 FPS and has a mAP of 57.9% on COCO test-dev.

What is Yolo algorithm?

YOLO is a clever convolutional neural network (CNN) for doing object detection in real-time. The algorithm applies a single neural network to the full image, and then divides the image into regions and predicts bounding boxes and probabilities for each region.
Alexander Ross
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Alexander Ross

Alexander Ross has covered the video game industry for a decade, writing deep dives on game design, esports tournaments, VR developments, and gaming culture.