mobilenet-v2-1.4-224.md (1648B)
1 # `mobilenet-v2-1.4-224` 2 3 **NOTE** This file is adapted from [here](https://github.com/opencv/open_model_zoo/blob/master/models/public/mobilenet-v2-1.4-224/mobilenet-v2-1.4-224.md). 4 5 ## Use Case and High-Level Description 6 7 `mobilenet-v2-1.4-224` is one of MobileNets - small, low-latency, low-power 8 models parameterized to meet the resource constraints of a variety of use 9 cases. They can be built upon for classification, detection, embeddings and 10 segmentation similar to how other popular large scale models are used. 11 For details, see the [paper](https://arxiv.org/abs/1704.04861). 12 13 ## Example 14 15 ## Specification 16 17 | Metric | Value | 18 |---------------------------------|-------------------------------------------| 19 | Type | Classification | 20 | GFlops | 1.183 | 21 | MParams | 6.087 | 22 23 ## Performance 24 25 ## Input 26 27 Image, name: `input` , shape: [1x224x224x3], format: [BxHxWxC], where: 28 29 - B - batch size 30 - H - image height 31 - W - image width 32 - C - number of channels 33 34 Expected color order: RGB. 35 Mean values: [127.5, 127.5, 127.5], scale factor for each channel: 127.5 36 37 ## Output 38 39 Probabilities for all dataset classes (0 class is background). Probabilities 40 are represented in logits format. Name: `MobilenetV1/Predictions/Reshape_1`. 41 42 ## Legal Information 43 44 The original model is distributed under the 45 [Apache License, Version 2.0](https://raw.githubusercontent.com/tensorflow/models/master/LICENSE).