text-recognition-0012

Use Case and High-Level Description

This is a network for text recognition scenario. It consists of VGG16-like backbone and bidirectional LSTM encoder-decoder. The network is able to recognize case-insensitive alpha-numeric text (36 unique symbols).

Example

openvino.jpg
-> openvino

Specification

Metric Value
Accuracy on the alphanumeric subset of ICDAR13 0.8818
Text location requirements Tight aligned crop
GFlops 1.485
MParams 5.568
Source framework TensorFlow

Performance

Inputs

Shape: [1x1x32x120] - An input image in the format [BxCxHxW], where:

Note that the source image should be tight aligned crop with detected text converted to grayscale.

Outputs

The net outputs a blob with the shape [30, 1, 37] in the format [WxBxL], where:

The network output can be decoded by CTC Greedy Decoder or CTC Beam Search decoder.

Legal Information

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