Omkar2118/datasets huggingface dataset:
TextOCR

**TextOCR** is a dataset to benchmark text recognition on arbitrary shaped scene-text. TextOCR requires models to perform text-recognition on arbitrary shaped scene-text present on natural images. TextOCR provides ~1M high quality word annotations on TextVQA images allowing application of end-to-end reasoning on downstream tasks such as visual question answering or image captioning.

Dataset statistics:

- 28,134 natural images from TextVQA
- 903,069 annotated scene-text words
- 32 words per image on average

Introducing paper: TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text