Descriptions:
To compare between the different OCR architecture, we need to have a single data split of training, eval and test sets. if we have that we can easily compare between models we trained with a single test split. To do so we need to get all the distribution of the OCR training data that Eric used to train the models that he trained.
Completion Criteria:
Get the splits for
Subtasks:
Descriptions:
To compare between the different OCR architecture, we need to have a single data split of training, eval and test sets. if we have that we can easily compare between models we trained with a single test split. To do so we need to get all the distribution of the OCR training data that Eric used to train the models that he trained.
Completion Criteria:
Get the splits for
Subtasks: