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

Models

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

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

Learn more about Scaled YOLOv4

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Frameworks

TensorFlow 1.5

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.5k+

2k+

License

MIT

GPL-3.0

Paper

Training Notebook

Deploy Model



Faster R-CNN vs. Scaled-YOLOv4

Both

Faster R-CNN

and

Scaled YOLOv4

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

Faster R-CNN

and

Scaled YOLOv4

	Faster R-CNN	Scaled YOLOv4
Date of Release
Model Type	Object Detection	Object Detection
Architecture		YOLO
GitHub Stars	7500	2000

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