OCR Datasets

The text carrier are A4 paper, lined paper, English paper, etc. The device is cellphone, the collection angle is eye-level angle. The dataset content includes English composition, poetry, prose, news, stories, etc. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data.The dataset can be used for tasks such as English handwriting OCR.

The text carrier are A4 paper, lined paper, quadrille paper, etc. The device is cellphone, the collection angle is eye-level angle. The dataset content includes Japanese composition, poetry, prose, news, stories, etc. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data.The dataset can be used for tasks such as Japanese OCR models and handwritten text recognition systems.

The writers are Europeans who often write Italian. The device is scanner, the collection angle is eye-level angle. The dataset content includes address, company name, personal name.The dataset can be used for tasks such as Italian OCR models and handwritten text recognition systems.

The writers are Europeans who often write German. The device is scanner, the collection angle is eye-level angle. The dataset content includes address, company name, personal name.The dataset can be used for tasks such as German OCR models and handwritten text recognition systems.

The writers are Europeans who often write French. The device is scanner, the collection angle is eye-level angle. The dataset content includes address, company name, personal name.The dataset can be used for tasks such as French OCR models and handwritten text recognition systems.

The text carrier are A4 paper, lined paper, quadrille paper, etc. The device is cellphone, the collection angle is eye-level angle. The dataset content includes Korean composition, poetry, prose, news, stories, etc. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The dataset can be used for tasks such as Korean OCR models and handwritten text recognition systems.

The writers are Europeans who often write spanish. The device is scanner, the collection angle is eye-level angle. The dataset content includes address, company name, personal name.The dataset can be used for Spanish OCR models and handwritten text recognition systems.

This dataset contains 14,980 PowerPoint slide images across 8 languages(French, Korean, Japanese, Spanish, German, Italian, Portuguese and Russian). This dataset includes multiple scenes, different photographic angles & distances, different light conditions. For annotation, each text line was annotated with quadrilateral bounding boxs and transcribed. The dataset can be used for tasks such as developing multilingual OCR systems.

This dataset contains 5,162 handwriting images from 262 individuals, covering Traditional Chinese characters used in Taiwan. Each text in the data were annotated with quadrilateral bounding boxes. The handwriting ocr data can be used for training and evaluating OCR models, Traditional Chinese character recognition systems, and AI-based handwriting applications. The accuracy of line-level annotation and transcription is >= 97%.