11 datasets found

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.

A benchmark for watermark text spotting from documents and an end-to-end solution for detecting watermark text patterns and recognizing the depicted text.

The MARIO-LAION dataset is a subset of the LAION-400M dataset, containing 9,194,613 high-quality text images with corresponding captions.

The ICDAR-2015 Robust Reading Competition dataset contains images with text in various fonts, sizes, and orientations.

The ICDAR-2017 Robust Reading Competition dataset contains images with text in various fonts, sizes, and orientations.

SVT is a very challenging dataset collected by Wang et al. from the Google Street View.

The COCO-Text dataset contains text in images, with a total of 120,000 images and 1,000 text annotations.

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.