YOLOv5 vs. Faster R-CNN: Compared and Contrasted

Models

YOLOv5

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

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

CNN, YOLO

Frameworks

PyTorch

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

46k+

7.5k+

License

AGPL-3.0

MIT

Paper

Training Notebook

Deploy Model

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YOLOv5 vs. Faster R-CNN

Both

YOLOv5

and

Faster R-CNN

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

YOLOv5

and

Faster R-CNN

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

YOLOv5

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

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 YOLOv5

Learn more about Faster R-CNN