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 pretrained 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
- channelChannel order is RGB
. Mean values - [127.5, 127.5, 127.5], scale value - 127.5
Image, name - data
, shape - 1,3,299,299
, format is B,C,H,W
where:
B
- batch sizeC
- channelH
- heightW
- widthChannel 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] rangeObject 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] rangeYou 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:
An example of using the Model Converter:
The original model is distributed under the Apache License, Version 2.0. A copy of the license is provided in 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 APACHE-2.0-TFSlim.txt.