Introduction: The Total-Text dataset [39] contains 1,555 images with 11,459 cropped text instance images. It focuses on curved scene text recognition. Images in Total-Text have more than three different orientations, including horizontal, ...

Document Analysis and Recognition (ICDAR), 2017 14th IAPR International Conference on. IEEE, 2017, 1: 1429-1434. Paper · Total-Text[74]：Chee C K, Chan C S. Total-text: A comprehensive dataset for scene text detection and recognition.Document Analysis and Recognition (ICDAR), 2017 14th IAPR International Conference on.

June 19, 2020 - TOTAL-TEXT is a word-level based English curve text dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

Figure 2: Examples of two major synthetic datasets. SynthText (ST) [11] is originally generated for scene text

Text in curve orientation, despite being one of the common text orientations in real world environment, has close to zero existence in well received scene text datasets such as ICDAR'13 and MSRA-TD500. The main motivation of Total-Text is to fill this gap and facilitate a new research direction for the scene text community.

October 28, 2017 - Abstract page for arXiv paper 1710.10400: Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

639 test images instances. It is specifically designed to evaluate perspective distorted textrecognition. It is built based on the original SVT dataset by selecting the images at the sameaddress on Google Street View but with different view angles.

MLT19: A large-scale scene text dataset from multiple Asian countries that includes 10,000 images divided into training, validation, and test sets. The scene text in the dataset includes regular text, digits, letters, and Chinese characters. RCTW17: A scene text recognition dataset from China that includes 8940 images from street and outdoor scenes.

May 5, 2023 - MLT19: A large-scale scene text dataset from multiple Asian countries that includes 10,000 images divided into training, validation, and test sets. The scene text in the dataset includes regular text, digits, letters, and Chinese characters. RCTW17: A scene text recognition dataset from China that includes 8940 images from street and outdoor scenes.

November 8, 2024 - Existing datasets, regardless of the language, tend to grapple with issues such as limited sample quantity and high noise levels, which considerably restrict the progression and overall efficacy of STR research and applications. Addressing these shortcomings, we introduce the Turkish Scene Text Recognition (TS-TR) dataset, one of the most substantial STR datasets to date, comprising 7288 text instances.

A curated list of resources dedicated to scene text localization and recognition - chongyangtao/Awesome-Scene-Text-Recognition

prehensive dataset for scene text detection and recognition.

January 22, 2025 - There are lots of datasets available publicly which can be used for this task, the different datasets with the year of release, Image number, the orientation of text, language and important features are listed below. Image Source – Paper(Scene Text Detection and Recognition)

searches clearly indicate the training datasets used and com- ... Street View and contains 645 images for evaluation. Many of the images contain perspective projections ... Figure 3: Visualization of an example flow of scene text recognition.

Kronos, a specialized pre-training framework for financial K-line data, outperforms existing models in forecasting and synthetic data generation through a unique tokenizer and autoregressive pre-training on a large dataset. ... LingBot-Map is a feed-forward 3D foundation model that reconstructs scenes from video streams using a geometric context transformer architecture with specialized attention mechanisms for coordinate grounding, dense geometric cues, and long-range drift correction, achieving stable real-time performance at 20 FPS.

March 12, 2024 - It was created specifically for a group of related languages with different scripts. The dataset contains over 27000 word-images gathered from various natural scenes, with over 1000 word-images for each language.

June 5, 2021 - Abstract:Scene text recognition (STR) task has a common practice: All state-of-the-art STR models are trained on large synthetic data.

[2018-arxiv] TextBoxes++: A Single-Shot Oriented Scene Text Detector [Paper] PowerPoint Text Detection and Recognition Dataset 2017

Union14M is a large scene text recognition (STR) dataset collected from 17 publicly available datasets, which contains 4M of labeled data (Union14M-L) and 10M of unlabeled data (Union14M-U), intended to provide a more profound analysis for the ...

November 23, 2020 - Introduction: It contains 18000 images in total. It provides word-level annotation. Compared to MLT, this dataset has 10 languages. It is a more real and complex datasets for scene text detection and recognition..