The googlenet-v4-tf model is the most recent of the Inception family of models designed to perform image classification.
Like the other Inception models, the googlenet-v4-tf model has been pre-trained on the ImageNet image database.
For details about this family of models, check out the paper, repository.
| Metric | Value |
|---|---|
| Type | Classification |
| GFLOPs | 24.584 |
| MParams | 42.648 |
| Source framework | TensorFlow* |
| Metric | Original model | Converted model |
|---|---|---|
| Top 1 | 80.21% | 80.21% |
| Top 5 | 95.20% | 95.20% |
Image, name - input, shape - 1, 299, 299, 3, format is B, H, W, C, where:
B- batch sizeH- heightW- widthC- channel
Channel order is RGB.
Mean values - [127.5, 127.5, 127.5], scale value - 127.5
Image, name - data, shape - 1, 299, 299, 3, format is B, H, W, C, where:
B- batch sizeH- heightW- widthC- channel
Channel order is BGR
Object classifier according to ImageNet classes, name - InceptionV4/Logits/Predictions, shape - 1, 1001, output data format is B, C, where:
B- batch sizeC- predicted probabilities for each class in [0, 1] range
Object classifier according to ImageNet classes, name - InceptionV4/Logits/Predictions, shape - 1, 1001, output data format is B, C, where:
B- batch sizeC- predicted probabilities for each class in [0, 1] range
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>
The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:
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.
The original model uses the TF-Slim library, which 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-TFSlim.txt.