OCR Text Recognition Dataset for US Region

August 2023 dataset containing text data for optical character recognition tasks, curated by user 'brigs' on Hugging Face. The dataset is categorized as containing between 1,000 and 10,000 rows and is stored in Parquet format. It is associated with libraries for data processing and machine learning.

Use Cases

• Train OCR models to recognize text patterns from image-derived text data.
• Benchmark text recognition algorithms using the labeled text modality.
• Process document images by leveraging the dataset's text features for model validation.

Strengths

• Dataset size is confirmed to be between 1,000 and 10,000 rows.
• Data is provided in efficient Parquet format for fast loading.

Limitations

• Small sample size under 10,000 rows may limit model generalization.
• Specific column names, data fields, and license information are unknown.
• Geographic coverage may be biased towards the US region.

Provenance

Source

Hugging Face user 'brigs'.

Collection Method

Collection method unknown; data modality indicates text processing.

Time Range

Temporal coverage of source data unknown.

Freshness

Last updated in August 2023.

Geography

Region tags indicate US focus.