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

The ICDAR-Art dataset contains a total of 10,166 images, 5603 images in the training set and 4563 images in the testing set.

The CTW1500 dataset contains 1,500 images, of which 1,000 are for training and 500 are for testing. Each image has at least one curved text.

The Movie-Poster dataset contains 1500 movie posters, of which 1100 are used for training and 400 for testing. The data consists of movie posters, most of which are...

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

SynthText dataset is proposed by Gupta et al. for scene text detection. The original dataset is composed of 800,000 scene text images, each with multiple word instances.

The dataset contains images of text in natural scenes, including street signs, logos, and product labels.

The dataset contains images of text in natural scenes, including street signs, logos, and product labels.