YOLOv8 vs. Faster R-CNN: Compared and Contrasted

Models

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

Learn more about YOLOv8

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, CNN

Frameworks

PyTorch

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

21.1k+

7.5k+

License

AGPL-3.0

MIT

Paper

Training Notebook

Deploy Model

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YOLOv8 vs. Faster R-CNN

Both

YOLOv8

and

Faster R-CNN

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

YOLOv8

and

Faster R-CNN

	YOLOv8	Faster R-CNN
Date of Release	Jan 10, 2023
Model Type	Object Detection	Object Detection
Architecture	YOLO, CNN
GitHub Stars	21100	7500

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

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 YOLOv8

Learn more about Faster R-CNN