12 datasets found

The dataset for multi-oriented scene text detection, containing 1000 training images and 500 test images.

The MSRA-TD500 dataset is a benchmark for scene text detection, containing 700 training images and 200 test images, with multi-lingual, arbitrary-oriented and long text lines.

The proposed scene text image synthesis technique starts with two types of inputs including “Background Images” and “Source Texts” as illustrated in column 1 and 2 in Fig. 1.

ICDAR 2013 consists of 229 training images and 233 testing images, and similar to ICDAR 2015, it also provides "Strong", "Weak" and "Generic" lexicons for text spotting task....

ICDAR 2017 MLT is a large scale multi-lingual text dataset, which includes 7200 training images, 1800 validation images and 9000 testing images. The dataset is composed of...

The dataset used for scene text spotting with small text instances.

The MSRA-TD500 dataset contains 500 natural scene images, of which 300 are for training and 200 are for testing.

The Total-Text dataset contains the text of various shapes, including horizontal, multi-orientational, and curved.

The dataset used for scene text spotting with arbitrary shapes.

ICDAR2015 dataset consists of 1,670 images (17,548 annotated text regions) acquired using the Google Glass.

ICDAR2013 dataset is obtained from the Robust Reading Challenges 2013.

Total-Text is a dataset for word-level arbitrary-shaped English text detection, containing 1,255 images for training and 300 images for testing.