image-retrieval-0001

Use Case and High-Level Description

Image retrieval model based on MobileNetV2 architecture as a backbone.

Example

_images/image-retrieval-0001.jpg

Specification

Metric

Value

Top1 accuracy

0.834

GFlops

0.613

MParams

2.535

Source framework

TensorFlow*

Inputs

Image, name: input, shape: 1, 3, 224, 224 in the format B, C, H, W, where:

  • B - batch size

  • C - number of channels

  • H - image height

  • W - image width

Expected color order: BGR.

Outputs

Tensor with name model/tf_op_layer_l2_normalize/l2_normalize and the shape 1, 256 — image embedding vector.

Use Case and High-Level Description

Image retrieval model based on MobileNetV2 architecture as a backbone.

Example

_images/image-retrieval-0001.jpg

Specification

Metric

Value

Top1 accuracy

0.834

GFlops

0.613

MParams

2.535

Source framework

TensorFlow*

Inputs

Image, name: input, shape: 1, 3, 224, 224 in the format B, C, H, W, where:

  • B - batch size

  • C - number of channels

  • H - image height

  • W - image width

Expected color order: BGR.

Outputs

Tensor with name model/tf_op_layer_l2_normalize/l2_normalize and the shape 1, 256 — image embedding vector.

Legal Information

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