YOLOv4 PyTorch vs. Faster R-CNN: Compared and Contrasted

Models



YOLOv4 PyTorch vs. Faster R-CNN

Both

YOLOv4 PyTorch

and

Faster R-CNN

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

YOLOv4 PyTorch

and

Faster R-CNN

	YOLOv4 PyTorch	Faster R-CNN
Date of Release
Model Type	Object Detection	Object Detection
Architecture	YOLO
GitHub Stars	4200	7800

YOLOv4 PyTorch

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 PyTorch.

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

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

Learn more about YOLOv4 PyTorch

Learn more about Faster R-CNN