Optical character recognition (OCR)

Text OCR

• Classes : 903,069 annotated scene-text words (32 words per image on average )
• 28,134 natural images from TextVQA

NIST Database

• The US National Institute of Science publishes handwriting from 3600 writers, including more than 800,000 character images.

FUNSD

• Form Understanding in Noisy Scanned Documents (FUNSD) comprises 199 real, fully annotated, scanned forms.

ICDAR 2003

• The ICDAR2003 dataset is a dataset for scene text recognition. It contains 507 natural scene images (including 258 training images and 249 test images) in total.

ST-VQA

• ST-VQA aims to highlight the importance of exploiting high-level semantic information present in images as textual cues in the VQA process.

Devangri Characters

• A dataset of handwritten Devangari characters, composed of 1800 samples from 36 character classes obtained by 25 native writers.

Mathematics Expressions

• More than 10,000 expressions, including more than 101 mathematical symbols.

Chinese Characters

• A dataset of handwritten Chinese characters containing 909,818 images that corresponds to about 10 news articles.

Arabic Printed Text

• Contains a lexicon of 113,284 words, and uses 10 Arabic fonts.

Document database

• Contains 941 online handwritten documents by 189 writers, and covers lists, tables, formulas, diagrams and drawings.

Iam On-line Handwriting

• Contains forms of handwritten English text acquired on a whiteboard, and includes more than 1700 entries.

Street View Text

• The Street View Text dataset was harvested from Google Street View, and mostly deals with outdoor street level signs and boards.

Street View House Numbers

• Contains 73257 digits of house street numbers, taken from Google Street View.

Natural Environment OCR

• A dataset that contains 659 real world images with 5238 annotations of text.

Scene Text

• Contains 3000 images captured in different environments, including outdoors and indoors scenes under different lighting conditions (clear day, night, strong artificial lights, etc).

Text Detection

• Contains 500 natural images, which are taken using a pocket camera. The indoor images are mainly signs, doorplates and caution plates while the outdoor images are mostly guide boards and billboards.

Stanford OCR

• Contains handwritten words dataset collected by MIT Spoken Language Systems Group, published by Stanford.

Chars74K Data

• This has 74K images of both English and Kannada digits.