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text-detection-0004.md

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text-detection-0004

Use Case and High-Level Description

Text detector based on PixelLink architecture with MobileNetV2, depth_multiplier=1.4 as a backbone for indoor/outdoor scenes.

Example

Specification

Metric Value
F-measure (Harmonic mean of precision and recall on ICDAR2015) 79.43%
GFlops 23.305
MParams 4.328
Source framework TensorFlow

Performance

Inputs

  1. name: "input" , shape: [1x3x768x1280] - An input image in the format [BxCxHxW], where:

    • B - batch size
    • C - number of channels
    • H - image height
    • W - image width

    Expected color order - BGR.

Outputs

  1. The net outputs two blobs. Refer to PixelLink and demos for details.
    • [1x2x192x320] - logits related to text/no-text classification for each pixel.
    • [1x16x192x320] - logits related to linkage between pixels and their neighbors.

Legal Information

[*] Other names and brands may be claimed as the property of others.