EfficientNet vs. Faster R-CNN: Compared and Contrasted

Models

EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.

Learn more about EfficientNet

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

CNN

Frameworks

Keras

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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EfficientNet vs. Faster R-CNN

Both

EfficientNet

and

Faster R-CNN

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

EfficientNet

and

Faster R-CNN

	EfficientNet	Faster R-CNN
Date of Release	May 28, 2019
Model Type	Classification	Object Detection
Architecture	CNN
GitHub Stars	7200	7500

EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.

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 EfficientNet

Learn more about Faster R-CNN