MobileNet SSD v2 vs. Faster R-CNN: Compared and Contrasted

Models

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

Learn more about MobileNet SSD v2

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

Frameworks

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

81+

7.5k+

License

MIT

Paper

Training Notebook

Deploy Model

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MobileNet SSD v2 vs. Faster R-CNN

Both

MobileNet SSD v2

and

Faster R-CNN

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

MobileNet SSD v2

and

Faster R-CNN

	MobileNet SSD v2	Faster R-CNN
Date of Release	Jan 13, 2018
Model Type	Object Detection	Object Detection
Architecture
GitHub Stars	81	7500

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

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 MobileNet SSD v2

Learn more about Faster R-CNN