Faster R-CNN vs. YOLOv3 PyTorch: 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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

Learn more about YOLOv3 PyTorch

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+

7.2k+

License

MIT

GPL-3.0

Paper

Training Notebook

Deploy Model

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Faster R-CNN vs. YOLOv3 PyTorch

Both

Faster R-CNN

and

YOLOv3 PyTorch

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

Faster R-CNN

and

YOLOv3 PyTorch

	Faster R-CNN	YOLOv3 PyTorch
Date of Release		Apr 08, 2018
Model Type	Object Detection	Object Detection
Architecture		YOLO
GitHub Stars	7500	7200

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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

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

Learn more about Faster R-CNN

Learn more about YOLOv3 PyTorch