YOLOv3 Keras vs. Faster R-CNN: Compared and Contrasted

Models

YOLOv3 Keras

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. Keras implementation.

Learn more about YOLOv3 Keras

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

Frameworks

Keras

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.1k+

7.5k+

License

MIT

Paper

Training Notebook

Deploy Model

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YOLOv3 Keras vs. Faster R-CNN

Both

YOLOv3 Keras

and

Faster R-CNN

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

YOLOv3 Keras

and

Faster R-CNN

	YOLOv3 Keras	Faster R-CNN
Date of Release
Model Type	Object Detection	Object Detection
Architecture	YOLO
GitHub Stars	7100	7500

YOLOv3 Keras

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. Keras implementation.

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 YOLOv3 Keras

Learn more about Faster R-CNN