2022.5.9 release PaddleOCR v2.5, including:
2022.5.7 Add support for metric and model logging during training to Weights & Biases.
2021.12.21 OCR open source online course starts. The lesson starts at 8:30 every night and lasts for ten days. Free registration: https://aistudio.baidu.com/aistudio/course/introduce/25207
2021.12.21 release PaddleOCR v2.4, release 1 text detection algorithm (PSENet), 3 text recognition algorithms (NRTR、SEED、SAR), 1 key information extraction algorithm (SDMGR) and 3 DocVQA algorithms (LayoutLM、LayoutLMv2,LayoutXLM).
2021.9.7 release PaddleOCR v2.3, PP-OCRv2 is proposed. The CPU inference speed of PP-OCRv2 is 220% higher than that of PP-OCR server. The F-score of PP-OCRv2 is 7% higher than that of PP-OCR mobile.
2021.8.3 released PaddleOCR v2.2, add a new structured documents analysis toolkit, i.e., PP-Structure, support layout analysis and table recognition (One-key to export chart images to Excel files).
2021.4.8 release end-to-end text recognition algorithm PGNet which is published in AAAI 2021. Find tutorial here;release multi language recognition models, support more than 80 languages recognition; especically, the performance of English recognition model is Optimized.
2021.1.21 update more than 25+ multilingual recognition models models list, including:English, Chinese, German, French, Japanese,Spanish,Portuguese Russia Arabic and so on. Models for more languages will continue to be updated Develop Plan.
2020.12.15 update Data synthesis tool, i.e., Style-Text,easy to synthesize a large number of images which are similar to the target scene image.
2020.11.25 Update a new data annotation tool, i.e., PPOCRLabel, which is helpful to improve the labeling efficiency. Moreover, the labeling results can be used in training of the PP-OCR system directly.
2020.9.22 Update the PP-OCR technical article, https://arxiv.org/abs/2009.09941
2020.9.19 Update the ultra lightweight compressed ppocr_mobile_slim series models, the overall model size is 3.5M, suitable for mobile deployment.
2020.9.17 update English recognition model and Multilingual recognition model, English
, Chinese
, German
, French
, Japanese
and Korean
have been supported. Models for more languages will continue to be updated.
2020.8.24 Support the use of PaddleOCR through whl package installation,pelease refer PaddleOCR Package
2020.8.16 Release text detection algorithm SAST and text recognition algorithm SRN
2020.7.23, Release the playback and PPT of live class on BiliBili station, PaddleOCR Introduction, address
2020.7.15, Add mobile App demo , support both iOS and Android ( based on easyedge and Paddle Lite)
2020.7.15, Improve the deployment ability, add the C + + inference , serving deployment. In addtion, the benchmarks of the ultra-lightweight Chinese OCR model are provided.
2020.7.15, Add several related datasets, data annotation and synthesis tools.
2020.7.9 Add a new model to support recognize the character "space".
2020.7.9 Add the data augument and learning rate decay strategies during training.
2020.6.8 Add datasets and keep updating
2020.6.5 Support exporting attention
model to inference_model
2020.6.5 Support separate prediction and recognition, output result score
2020.5.30 Provide Lightweight Chinese OCR online experience
2020.5.30 Model prediction and training support on Windows system
2020.5.30 Open source general Chinese OCR model
2020.5.14 Release PaddleOCR Open Class
2020.5.14 Release PaddleOCR Practice Notebook
2020.5.14 Open source 8.6M lightweight Chinese OCR model
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。