Faster R-CNN vs. YOLOv4: Compared and Contrasted

Models



Faster R-CNN vs. YOLOv4

Both

Faster R-CNN

and

YOLOv4 Darknet

are commonly used in computer vision projects. Below, we compare and contrast

Faster R-CNN

and

YOLOv4 Darknet

	Faster R-CNN	YOLOv4 Darknet
Date of Release
Model Type	Object Detection	Object Detection
Architecture
GitHub Stars	7800	20100

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about Faster R-CNN

Learn more about YOLOv4 Darknet