PP OCRv5 mobile det Introduction PP OCRv5 mobile det is one of the PP OCRv5 det series, the latest generation of text detection models developed by the PaddleOCR team. It aims to efficiently and accurately supports the detection of text in diverse scenarios—including handwriting, vertical, rotated, and curved text—across multiple languages such as Simplified Chinese, Traditional Chinese, English, and Japanese. Key features include robust handling of complex layouts, varying text sizes, and challenging backgrounds, making it suitable for practical applications like document analysis, license plate recognition, and scene text detection. The key accuracy metrics are as follow: Handwritten Chinese Handwritten English Printed Chinese Printed English Traditional Chinese Ancient Text Japanese General Scenario Pinyin Rotation Distortion Artistic Text Average 0.744 0.777 0.905 0.910 0.823 0.581 0.727 0.721 0.575 0.647 0.827 0.525 0.770 Model Usage Install Dependencies CLI Usage Python API Usage
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