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PP OCRv5 Mobile Det Onnx

PP-OCRv5mobiledet is one of the PP-OCRv5det 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...

TipoModeloVersiónRevision e6f4fa8Bcalidad

Fuente del modelo

Tipo
Modelo
Tamaño del archivo
4,60 MB
Versión
vRevision e6f4fa8
Actualizado
30 oct 2026
Descargas
83 mil
Fuente
Hugging Face

Descripción de la fuente

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 ChineseHandwritten EnglishPrinted ChinesePrinted EnglishTraditional ChineseAncient TextJapaneseGeneral ScenarioPinyinRotationDistortionArtistic TextAverage
0.7440.7770.9050.9100.8230.5810.7270.7210.5750.6470.8270.5250.770

Model Usage

Install Dependencies

pip install -U paddleocr
pip install -U onnxruntime-gpu

CLI Usage

paddleocr text_detection -i ./demo.png --model_name PP-OCRv5_mobile_det --engine onnxruntime

Python API Usage

from paddleocr import TextDetection

model = TextDetection(
    model_name="PP-OCRv5_mobile_det",
    engine="onnxruntime",
)
output = model.predict("./demo.png", batch_size=1)
for res in output:
    res.print()
    res.save_to_img(save_path="./output/")
    res.save_to_json(save_path="./output/res.json")

Fuentes

1 fuente
Hugging FacePrincipalVersión e6f4fa85f00e168c862bc462aebca69eef9b3d3d
huggingface.co/PaddlePaddle/PP-OCRv5_mobile_det_onnx/tree/e6f4fa85f00e168c862bc462aebca69eef9b3d3d

Verificado 30 oct

Artefactos del modelo

1 artefacto

inference.onnx

onnx · 4,60 MB · SHA-256 a431985659dc…e61d · Hugging Face

Download file

Extractos de fuentes

3 extractos

--- license: apache-2.0 library_name: PaddleOCR language: - en - zh pipeline_tag: image-to-text tags: - OCR - PaddlePaddle - PaddleOCR - textline_detection --- # 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 ```shell pip install -U paddleocr pip install -U onnxruntime-gpu ``` ### CLI Usage ```shell paddleocr text_detection -i ./demo.png --model_name PP-OCRv5_mobile_det --engine onnxruntime ``` ### Python API Usage ```python from paddleocr import TextDetection model = TextDetection( model_name="PP-OCRv5_mobile_det", engine="onnxruntime", ) output = model.predict("./demo.png", batch_size=1) for res in output: res.print() res.save_to_img(save_path="./output/") res.save_to_json(save_path="./output/res.json") ```

Source context: 83048 downloads · 0 likes · Pipeline image-to-text · Library PaddleOCR · Repo PaddlePaddle/PP-OCRv5_mobile_det_onnx

Source context: 50921 downloads · 0 likes · Pipeline image-to-text · Library PaddleOCR · Repo PaddlePaddle/PP-OCRv5_mobile_det_onnx