Faster R-CNN vs. EfficientNet: 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

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

Model Type

Object Detection

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN

Frameworks

TensorFlow 1.5

Keras

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.5k+

License

MIT

Paper

Training Notebook

Deploy Model

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Faster R-CNN vs. EfficientNet

Both

Faster R-CNN

and

EfficientNet

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

Faster R-CNN

and

EfficientNet

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

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

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

Learn more about Faster R-CNN

Learn more about EfficientNet