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WICG Shape Detection API Search Results & Alternatives
FaceRect is a powerful and free API for face detection. It finds faces (both frontal and profile) on the image specified by URL or uploaded as a file and is able to find multiple faces on a single photo, producing JSON output with a bounding box for each face found. Check out visual demo here: http://apicloud.me/apis/facerect/demo/. Note that additionally FaceRect can find face features for each detected face (eyes, nose and mouth). For more precise face feature detection please see our FaceMark API: https://www.mashape.com/apicloud/facemark
Microsoft Translator APIs can be seamlessly integrated into your applications, websites, tools, or other solutions to provide multi-language user experiences. Leveraging industry standards, it can be used on any hardware platform and with any operating system to perform language translation and other language-related operations such as text language detection or text to speech. Click Here for more information about the Microsoft Translator API.
Perform a BIN (Bank Identification Number) or IIN (Issuer Identification Number) lookup. This API is ideal for fraud protection systems and payment analysis. Our BIN database is comprehensive and covers all countries, we update it on a regular basis as new cards are issued. This API also includes some extra fraud detection measures if a customer IP address is passed in. In this mode the API will also perform IP geolocation and IP blocklist lookups. Please Note: processing and transmitting BIN numbers is perfectly safe as long as no other card information is present, BIN numbers on there own pose no security risk to the card holder or merchant. To prevent abuse this API is restricted to a maximum of 5 API calls per day for Free API accounts.
TextAnalysis API provides customized Text Analysis,Text Mining and Text Processing Services like Text Summarization, Language Detection, Text Classification, Sentiment Analysis, Word Tokenize, Part-of-Speech(POS) Tagging, Named Entity Recognition(NER), Stemmer, Lemmatizer, Chunker, Parser, Key Phrase Extraction(Noun Phrase Extraction), Sentence Segmentation(Sentence Boundary Detection), Grammar Checker and other Text Analysis Tasks. It stands on the giant shoulders of NLP Tools, such as NLTK, TextBlob, Pattern, MBSP and etc. You can test the services on our demo website TextAnalysisOnline and use the TextAnalysis API on Mashape. If you have any questions or want any customized text analysis services, you can contact us by email: [email protected]
Parse, validate and get detailed user-agent information from a user-agent string. This API has the following features: User-Agent Type - Determine the general user-agent type e.g. desktop-browser or mobile-browser. Mobile Device Detection - Determine if this user-agent is a mobile device. Mobile Device Features - Get mobile device features such as brand, browser, model and screen size. Browser Details - Get browser software details like operating system, version and producer
Related APIs in Category: Images
The World Wide Web Consortium (W3C) is the main international standards organization for the World Wide Web (abbreviated WWW or W3). Founded and currently led by Tim Berners-Lee, the consortium is made up of member organizations which maintain full-time staff for the purpose of working together in the development of standards for the World Wide Web. As of 29 May 2019, the World Wide Web Consortium (W3C) has 444 members. The World Wide Web Consortium (W3C) was founded by Tim Berners-Lee after he left the European Organization for Nuclear Research (CERN) in October, 1994. The purpose of the CR is to elicit aid from the development community as to how implementable the standard is. The standard is now endorsed by the W3C, indicating its readiness for deployment to the public, and encouraging more widespread support among implementors and authors. W3C is run by a management team which allocates resources and designs strategy, led by CEO Jeffrey Jaffe (as of March 2010), former CTO of Novell.
W3C Website Summary:
This version: https://wicg.github.io/shape-detection-apiIssue Tracking: GitHubEditors: Miguel Casas-Sanchez (Google LLC) Reilly Grant (Google LLC) Translations (non-normative): 简体中文Participate: Join the W3C Community GroupFix the text through GitHubCopyright © 2019 the Contributors to the Accelerated Shape Detection in Images Specification, published by the Web Platform Incubator Community Group under the W3C Community Contributor License Agreement (CLA). This specification was published by the Web Platform Incubator Community Group. [...] Text Detection, despite being an interesting field, is not considered stable enough across neither computing platforms nor character sets to be standarized in the context of this document. [...] RFC2119] Examples in this specification are introduced with the words “for example” or are set apart from the normative text with class="example", like this: This is an example of an informative example.