MobileNet V2 Classification vs. Faster R-CNN: Compared and Contrasted

Models

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

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

Classification

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+

License

MIT

Paper

Training Notebook

Deploy Model

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MobileNet V2 Classification vs. Faster R-CNN

Both

MobileNet V2 Classification

and

Faster R-CNN

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

MobileNet V2 Classification

and

Faster R-CNN

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