Text in curve orientation, despite being one of the common text orientationsin real world environment, has close to zero existence in well received scenetext datasets such as ICDAR2013 and MSRA-TD500. The main motivation ofTotal-Text is to fill this gap and facilitate a new research direction for thescene text community. On top of the conventional horizontal and multi-orientedtexts, it features curved-oriented text. Total-Text is highly diversified inorientations, more than half of its images have a combination of more than twoorientations. Recently, a new breed of solutions that casted text detection asa segmentation problem has demonstrated their effectiveness againstmulti-oriented text. In order to evaluate its robustness against curved text,we fine-tuned DeconvNet and benchmark it on Total-Text. Total-Text with itsannotation is available at https://github.com/cs-chan/Total-Text-Dataset