PP-LCNet_x1_0_doc_ori is a lightweight neural network based on PP-LCNet designed to classify the orientation of document images. It is integrated into the PaddleOCR toolkit and supports English and Chinese documents. The model helps preprocess images for improved OCR accuracy by correcting rotation before text recognition.
PP LCNet X1 0 Doc Ori is a Foundation models & chat product. Automatically detecting and correcting the orientation of scanned or photographed document images. It is built as an open-source project for developers. PP LCNet X1 0 Doc Ori is open source under the Apache-2.0 license. It runs on the web, the command line, and API.
It is developed by PaddlePaddle (China), and the product first shipped in 2020. Development happens publicly on GitHub with 85.8k stars and 54 commits in the last 90 days. Key capabilities include document orientation classification, Lightweight CNN, and paddleOCR integration.
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