Faster R-CNN vs. MobileNet SSD v2: 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

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

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

7.5k+

81+

License

MIT

Paper

Training Notebook

Deploy Model

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Faster R-CNN vs. MobileNet SSD v2

Both

Faster R-CNN

and

MobileNet SSD v2

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

Faster R-CNN

and

MobileNet SSD v2

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

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