Faster R-CNN vs. MobileNet V2 Classification: 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 V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.

Learn more about MobileNet V2 Classification

Model Type

Object Detection

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

Frameworks

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.5k+

License

MIT

Paper

Training Notebook

Deploy Model



Faster R-CNN vs. MobileNet V2 Classification

Both

Faster R-CNN

and

MobileNet V2 Classification

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

Faster R-CNN

and

MobileNet V2 Classification

	Faster R-CNN	MobileNet V2 Classification
Date of Release
Model Type	Object Detection	Classification
Architecture
GitHub Stars	7500

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