mobilenet-v2

MobileNet V2

Specification

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

Metric Value
Top 1 71.218%
Top 5 90.178%

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]

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