RealText-V2

RealText-V2: A Large-Scale Multilingual Document Forgery Analysis Benchmark 💾 Dataset Description RealText-V2 is a large-scale multilingual document benchmark dataset purpose-built for multilingual text image forgery analysis, pioneering in both scale and annotation depth. Key Features 20K+ images: A large-scale benchmark, surpassing existing document forgery analysis datasets by orders of magnitude 6 languages: English, Chinese, Arabic, Thai, Malay, and… See the full description on the dataset page:

Source: Hugging Face Hub (fang-123/RealText-V2). Metadata imported from the dataset’s Hub tags.