Dataset from AnyText: Multilingual Visual Text Generation And Editing. Dataset description from Anytext Team: Currently, there is a relative scarcity of public datasets for text generation tasks, especially those involving non Latin script languages. To address this, we introduce a large scale multilingual dataset called AnyWord 3M. The images in this dataset are sourced from Noah Wukong, LAION 400M, and OCR recognition datasets such as ArT, COCO Text, RCTW, LSVT, MLT, MTWI, ReCTS, etc. These images cover a variety of scenes containing text, including street views, book covers, advertisements, posters, and movie frames. Apart from OCR datasets that directly utilize annotated information, all other images are processed using the detection and recognition models of PP OCR. Subsequently, text descriptions are generated using BLIP 2. After rigorous filtering rules and meticulous post processing, we have obtained a total of 3,034,486 images, containing over 9 million lines of text and more than 20 million characters or Latin script characters. Additionally, we randomly selected 1,000 images from the Wukong and LAION subsets to create the evaluation set AnyText benchmark, specifically fo…
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