Use Case and High-Level Description

This is a text spotting model that simultaneously detects and recognizes text. The model detects symbol sequences separated by space and performs recognition without a dictionary. The model is built on top of the Mask-RCNN framework with additional attention-based text recognition head.

Symbols set is alphanumeric: 0123456789abcdefghijklmnopqrstuvwxyz.

This model is a fully-convolutional encoder of text recognition head.

Example

Specification

Hmean Word spotting is defined and measured according to the Incidental Scene Text (ICDAR2015) challenge.

Performance

Inputs

Name: input, shape: [1x64x28x28]. Text recognition features obtained from detection part.

Outputs

Name: output, shape: [1x256x28x28]. Encoded text recognition features.

Legal Information

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