Faster R-CNN vs. YOLOv5: 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

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

Learn more about YOLOv5

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN, YOLO

Frameworks

TensorFlow 1.5

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.5k+

46k+

License

MIT

AGPL-3.0

Paper

Training Notebook

Deploy Model

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Faster R-CNN vs. YOLOv5

Both

Faster R-CNN

and

YOLOv5

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

Faster R-CNN

and

YOLOv5

	Faster R-CNN	YOLOv5
Date of Release		Jan 06, 2020
Model Type	Object Detection	Object Detection
Architecture		CNN, YOLO
GitHub Stars	7500	33200

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