autogluon.model_zoo

Here we provide pretrained Models discovered via Neural Architecture Search

How To Use Pretrained Models

Example showing how to load pretrained network ‘efficientnet_b0’, which was produced via NAS.

import autogluon.core as ag
model = ag.model_zoo.get_model('efficientnet_b0', pretrained=True)

EfficientNet

The following pretrained EfficientNet 1 models are provided for image classification. The accuracy achieved by each model on a popular image classification benchmark is indicated, along with the image crop-size used by each model.

1

Tan, Mingxing, and Quoc V. Le. “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Model

Acc %

crop_size

EfficientNet_B0

77.03

224

EfficientNet_B1

78.66

240

EfficientNet_B2

79.57

260

EfficientNet_B3

80.68

300

EfficientNet_B4

81.97

380

EfficientNet_B5

83.30

456

EfficientNet_B6

83.79

528

EfficientNet_B7

83.86

600