josip.batin · PyLaia · Published August 30, 2023

joyce SH + early letters (base: TEH M3)

Text Recognition

Description

TEH M3 as base model

Try this model

Use this modelOpen in Transkribus
Very low error rate3.2% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 3.2% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material.

Measured on the model's own validation data. Results on your documents may differ depending on handwriting style, document condition, language, and how closely your material resembles the training data.

Words19,371
Lines3,184
Training Pages110
Model ID54749
Languages
English