You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
As deployer/Maintainer experiment on a free English text extraction model that can be embedded into Saral SDK/Reference App.
Explore and Identify suitable ML model architectures for free English text extraction with the below characteristics.
Model should be convertible to TFLite so that it can be embedded into Android App
TFLite model size should be less than 20 MB to start with
Free English Text extraction method is mainly expected to Phygitize fields like name, and address in a physical layout instead of character-by-character classification
In SaralSDK/Reference app this model should be able to function offline using mobile computing power.
The text was updated successfully, but these errors were encountered:
As deployer/Maintainer experiment on a free English text extraction model that can be embedded into Saral SDK/Reference App.
The text was updated successfully, but these errors were encountered: