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densenet-121-tf

Use Case and High-Level Description

This is a TensorFlow* version of densenet-121 model, one of the DenseNet group of models designed to perform image classification. For details, see TensorFlow* API docs, repository and paper.

Specification

Metric Value
Type Classification
GFlops 5.7287
MParams 7.9714
Source framework TensorFlow*

Accuracy

Metric Value
Top 1 74.46%
Top 5 92.13%

Input

Original Model

Image, name: keras_tensor, 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. Mean values - [123.68, 116.78, 103.94], scale values - [58.395,57.12,57.375].

Converted Model

Image, name: keras_tensor, 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/densenet121/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 OpenVINO™ IR Format

You can download models and if necessary convert them into OpenVINO™ IR 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>

Demo usage

The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:

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-TensorFlow.txt.