PP LCNet x1 0 doc ori Introduction The Document Image Orientation Classification Module is primarily designed to distinguish the orientation of document images and correct them through post processing. During processes such as document scanning or ID photo capturing, the device might be rotated to achieve clearer images, resulting in images with various orientations. Standard OCR pipelines may not handle these images effectively. By leveraging image classification techniques, the orientation of documents or IDs containing text regions can be pre determined and adjusted, thereby improving the accuracy of OCR processing. The key accuracy metrics are as follow: Model Recognition Avg Accuracy(%) Model Storage Size (M) Introduction PP LCNet x1 0 doc ori 99.06 7 A document image classification model based on PP LCNet x1 0, with four categories: 0°, 90°, 180°, and 270°. Quick Start Installation 1. PaddlePaddle Please refer to the following commands to install PaddlePaddle using pip: For details about PaddlePaddle installation, please refer to the PaddlePaddle official website. 2. PaddleOCR Install the latest version of the PaddleOCR inference package from PyPI: Model Usage You can quickly…
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