text-detection-0004
February 10, 2022 ยท View on GitHub
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* |
Inputs
Image, name: Placeholder, shape: 1, 768, 1280, 3 in the format B, H, W, C, where:
B- batch sizeH- image heightW- image widthC- number of channels
Expected color order: BGR.
Outputs
-
name:
model/link_logits_/add, shape:1, 192, 320, 16- logits related to linkage between pixels and their neighbors. -
name:
model/segm_logits/add, shape:1, 192, 320, 2- logits related to text/no-text classification for each pixel.
Refer to PixelLink and demos for details.
Demo usage
The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:
Legal Information
[*] Other names and brands may be claimed as the property of others.