YOLOv4 vs. Faster R-CNN: Compared and Contrasted

Models

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.

Learn more about YOLOv4 Darknet

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.

Learn more about Faster R-CNN

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Frameworks

Darknet

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.5k+

License

YOLO

MIT

Paper

Training Notebook

Deploy Model

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YOLOv4 vs. Faster R-CNN

Both

YOLOv4 Darknet

and

Faster R-CNN

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

YOLOv4 Darknet

and

Faster R-CNN

	YOLOv4 Darknet	Faster R-CNN
Date of Release
Model Type	Object Detection	Object Detection
Architecture	YOLO
GitHub Stars		7500

YOLOv4 Darknet

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 Darknet

Learn more about Faster R-CNN