男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Business
Home / Business / Top 10 List

Top 5 technologies for optical character detection

chinadaily.com.cn | Updated: 2018-12-04 06:50
Share
Share - WeChat
Chinese tech company Cloudwalk's algorithm Pixel-Anchor ranked first on list of results on ICDAR 2017 MLT Chinese. [Photo provided to chinadaily.com.cn]

China has grabbed the top five spots in a prestigious global ranking in the optical character recognition field, according to a report by The Paper.

The ranking from the International Conference on Document Analysis and Recognition, an important index in OCR field, was reset by Chinese tech company Cloudwalk's algorithm Pixel-Anchor, which took top spot in the latest single-scale results on ICDAR 2015.

ICDAR2015 is a pure English text detection sub-data set, used to test algorithms of text detection organically through robust reading competitions established by ICDAR in 2003, aiming to improve text detection and recognition level in natural scene.

The robust reading competitions, with open testing data set online and results submitted anytime, have attracted over 3,500 participating teams from 89 countries and regions, including Google, Microsoft, Amazon and Facebook.

Let's take a look at the top 5 technologies in optical character detection.

No 5 Alibaba with IncepText algorith

OCR technology can be applied in various fields such as photo analysis, license plate recognition and image advertisement filtering. [Photo provided to chinadaily.com.cn]
1 2 3 4 5 Next   >>|
Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
CLOSE
 
主站蜘蛛池模板: 龙州县| 小金县| 清水县| 门头沟区| 潞西市| 驻马店市| 广东省| 桦甸市| 屏东县| 武汉市| 中卫市| 镇远县| 交口县| 定远县| 芷江| 西畴县| 静乐县| 南华县| 博客| 雷州市| 山东省| 招远市| 景德镇市| 晴隆县| 丽水市| 德钦县| 什邡市| 平定县| 法库县| 应城市| 三门峡市| 周口市| 兴文县| 兴国县| 西乡县| 洞口县| 常德市| 利辛县| 遵化市| 华亭县| 浙江省| 辽宁省| 陈巴尔虎旗| 石门县| 湄潭县| 左权县| 哈尔滨市| 峡江县| 定兴县| 买车| 陆丰市| 北安市| 寿阳县| 昌图县| 张家界市| 敦煌市| 齐河县| 离岛区| 泌阳县| 镇原县| 定陶县| 长垣县| 元谋县| 且末县| 台东县| 德惠市| 黄大仙区| 曲麻莱县| 顺义区| 天祝| 无为县| 长治市| 潢川县| 交口县| 内乡县| 禄丰县| 密云县| 邢台县| 大城县| 额敏县| 酒泉市| 乡城县|