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mobilenet-v3-large-1.0-224-tf

Use Case and High-Level Description

mobilenet-v3-large-1.0-224-tf is one of MobileNets V3 - next generation of MobileNets, based on a combination of complementary search techniques as well as a novel architecture design. mobilenet-v3-large-1.0-224-tf is targeted for high resource use cases. For details see paper.

Specification

Metric Value
Type Classification
GFlops 0.44506
MParams 5.471
Source framework TensorFlow*

Accuracy

Metric Original model Converted model
Top 1 75.30% 75.30%
Top 5 92.62% 92.62%

Input

Original Model

Image, name: input_1, shape: 1, 224, 224, 3, format: B, H, W, C, where:

  • B - batch size
  • H - image height
  • W - image width
  • C - number of channels

Expected color order: RGB.

Converted Model

Image, name: input_1, shape: 1, 224, 224, 3, format: B, H, W, C, where:

  • B - batch size
  • H - image height
  • W - image width
  • C - number of channels

Expected color order: BGR.

Output

Original Model

Object classifier according to ImageNet classes, name - StatefulPartitionedCall/MobilenetV3large/Predictions/Softmax, shape - 1, 1000, output data format is B, C where:

  • B - batch size
  • C - Predicted probabilities for each class in [0, 1] range

Converted Model

The converted model has the same parameters as the original model.

Download a Model and Convert it into Inference Engine Format

You can download models and if necessary convert them into Inference Engine format using the Model Downloader and other automation tools as shown in the examples below.

An example of using the Model Downloader:

omz_downloader --name <model_name>

An example of using the Model Converter:

omz_converter --name <model_name>

Legal Information

The original model is distributed under the Apache License, Version 2.0. A copy of the license is provided in <omz_dir>/models/public/licenses/APACHE-2.0-TF-Models.txt.