本次ICDAR 2019-ArT国际学术竞赛将聚焦任意形状特别是不规则场景文字的检测与识别,旨在进一步推动自然场景下任意形状文字识别算法与技术突破。 数据集 ICDAR2019-ArT 数据集数据集由 Total-Text、SCUT-CTW 1500和百度非规则文字数据集组成,累计新增7千张任意形状数据,总计10176张,是目前业界最大的任意形状场景文字数据集...
Highly diversified scene text images in terms of text shapes. Specifically, almost a quarter of the text instances in the dataset intended for this competition are Arbitrary-Shaped Text (ArT), - 飞桨AI Studio
5月29日消息，ICDAR 2019-LSVT（Large-scale Street View Text with Partial Labeling，弱标注大规模街景文字）、ICDAR 2019-ArT（Arbitrary-Shaped Text，任意形状场景文字）国际竞赛5月落下帷幕。经过两个月的角逐，ICDAR 2019-ArT竞赛五项子任务的冠军分别由中科院（文字检测）、旷视（Latin文字识别）、韩国NAVER（La...
This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection, ii) scene text recognition, and iii) scene text spotting. A total of 78 submissions from 46 unique teams/individuals were received for...