Models

What is 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.

About the model

Here is an overview of the

EfficientNet

model:

Date of Release May 28, 2019
Model Type Classification
Architecture CNN
Framework Used Keras
Annotation Format
Stars on GitHub 7200+

What is EfficientNet?

EfficientNet is a family of convolutional neural networks and these models efficiently scale up in terms of layer depth, layer width, input resolution, or a combination of all of these factors. EfficientNet allows us to form features from images that can later be passed into a classifier. This allows for EfficientNet to serve as a backbone to many other models--one of which is EfficientDet, an object detection model family. This version of EfficientNEt is implemented in Keras, which is abstracted, so we can load a custom dataset and train EfficientNet all in a few lines of code.

EfficientNet Architecture

EfficientNet Architecture

EfficientNet Results

EfficientNet is able to achieve higher accuracies and efficiencies all while reducing the parameter size and FLOPS.

EfficientNet Results

Image Citation

Further Reading over EfficientNet

Training EfficientNet: https://blog.roboflow.com/how-to-train-efficientnet/

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Model Performance

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EfficientNet Annotation Format

EfficientNet

uses the

annotation format. If your annotation is in a different format, you can use Roboflow's annotation conversion tools to get your data into the right format.

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