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mobilenet-v2

Use Case and High-Level Description

MobileNet V2

Example

Specification

Metric Value
Type Classification
GFLOPs 0.876
MParams 3.489
Source framework Caffe*

Accuracy

Performance

Input

Original Model

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

  • B - batch size
  • C - channel
  • H - height
  • W - width

Channel order is BGR. Mean values: [103.94,116.78,123.68], scale value: 58.8235294117647.

Converted Model

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

  • B - batch size
  • C - channel
  • H - height
  • W - width

Channel order is BGR.

Output

Original Model

Object classifier according to ImageNet classes, name: prob, shape: 1,1000, output data format is B,C, where:

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

Converted Model

Object classifier according to ImageNet classes, name: prob, shape: 1,1000, output data format is B,C, where:

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

Legal Information

The original model is distributed under the following license:

BSD 3-Clause License

Copyright (c) 2017-, Shicai Yang
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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