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.
Metric | Value |
---|---|
Type | Classification |
GFlops | 0.4536 |
MParams | 5.4721 |
Source framework | TensorFlow* |
Metric | Original model | Converted model |
---|---|---|
Top 1 | 75.70% | 75.70% |
Top 5 | 92.76% | 92.76% |
Image, name: input
, shape: 1, 224, 224, 3
, format: B, H, W, C
, where:
B
- batch sizeH
- image heightW
- image widthC
- number of channels
Expected color order: RGB
.
Mean values: [127.5, 127.5, 127.5], scale factor for each channel: 127.5
Image, name: input
, shape: 1, 3, 224, 224
, format: B, C, H, W
, where:
B
- batch sizeC
- number of channelsH
- image heightW
- image width
Expected color order: BGR
.
Probabilities for all dataset classes (0 class is background). Name: MobilenetV3/Predictions/Softmax
,
shape: 1,1001
, format: B, C
, where:
B
- batch sizeC
- vector of probabilities.
Probabilities for all dataset classes (0 class is background). Name: MobilenetV3/Predictions/Softmax
,
shape: 1,1001
, format: B, C
, where:
B
- batch sizeC
- vector of probabilities.
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:
python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
An example of using the Model Converter:
python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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.