https://pypi.org/project/ppocrlabel/ Recent updates to the Python Package Index for PPOCRLabel en https://pypi.org/project/ppocrlabel/3.1.5/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Mon, 19 Jan 2026 11:08:04 GMT https://pypi.org/project/ppocrlabel/3.1.4/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Tue, 23 Sep 2025 13:12:18 GMT https://pypi.org/project/ppocrlabel/3.1.3/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Tue, 12 Aug 2025 13:08:45 GMT https://pypi.org/project/ppocrlabel/3.1.2/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Thu, 03 Jul 2025 13:29:44 GMT https://pypi.org/project/ppocrlabel/3.1.1/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Thu, 19 Jun 2025 11:16:41 GMT https://pypi.org/project/ppocrlabel/3.1.0/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Sat, 14 Jun 2025 10:46:09 GMT https://pypi.org/project/ppocrlabel/3.0.2/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Fri, 13 Jun 2025 08:39:01 GMT https://pypi.org/project/ppocrlabel/3.0.1/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Wed, 11 Jun 2025 15:44:55 GMT https://pypi.org/project/ppocrlabel/3.0.0/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Sun, 01 Jun 2025 06:13:31 GMT https://pypi.org/project/ppocrlabel/2.2.1/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Thu, 20 Mar 2025 12:14:39 GMT https://pypi.org/project/ppocrlabel/2.2.0/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Thu, 20 Mar 2025 07:50:26 GMT https://pypi.org/project/ppocrlabel/2.1.12/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Thu, 28 Nov 2024 07:13:17 GMT https://pypi.org/project/ppocrlabel/2.1.11/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Sat, 09 Nov 2024 08:51:20 GMT https://pypi.org/project/ppocrlabel/2.1.10/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Fri, 13 Sep 2024 15:34:19 GMT https://pypi.org/project/ppocrlabel/2.1.9/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Thu, 12 Sep 2024 15:42:55 GMT https://pypi.org/project/ppocrlabel/2.1.8/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Sat, 07 Sep 2024 09:16:29 GMT https://pypi.org/project/ppocrlabel/2.1.7/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Fri, 06 Sep 2024 01:20:13 GMT https://pypi.org/project/ppocrlabel/2.1.6/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Wed, 21 Aug 2024 14:12:08 GMT https://pypi.org/project/ppocrlabel/2.1.5/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Thu, 08 Aug 2024 13:55:42 GMT https://pypi.org/project/ppocrlabel/2.1.4/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Paddle-better@baidu.com Thu, 01 Aug 2024 15:45:21 GMT https://pypi.org/project/ppocrlabel/2.1.3/ PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models. Tue, 22 Nov 2022 02:11:38 GMT https://pypi.org/project/ppocrlabel/2.1.2/ PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models Thu, 29 Sep 2022 09:15:07 GMT https://pypi.org/project/ppocrlabel/2.1.1/ PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models Wed, 07 Sep 2022 06:53:40 GMT https://pypi.org/project/ppocrlabel/2.1.0/ PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models Tue, 23 Aug 2022 09:05:43 GMT https://pypi.org/project/ppocrlabel/2.0.1/ PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models Fri, 13 May 2022 07:01:29 GMT https://pypi.org/project/ppocrlabel/2.0.0/ PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models Mon, 09 May 2022 01:38:34 GMT https://pypi.org/project/ppocrlabel/1.0.2/ PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models Tue, 28 Dec 2021 03:19:14 GMT https://pypi.org/project/ppocrlabel/1.0.1/ PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models Wed, 08 Dec 2021 05:00:07 GMT https://pypi.org/project/ppocrlabel/1.0.0/ PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models Fri, 26 Nov 2021 08:07:53 GMT