Skip to main content

Android development team releases new ML Kit SDK

The Android development team is adding new features to its ML Kit, which is currently being used in over 25,000 iOS and Android apps. 

ML Kit is the company’s solution for integrating machine learning into mobile applications. It was launched in 2018 at its I/O conference.

The team is introducing a new SDK that doesn’t rely on Firebase like the original version of the ML Kit did. According to the team, they got feedback from users that they wanted something more flexible. The new SDK includes all of the same on-device APIs, and developers can still choose to use ML Kit and Firebase together if they choose. 

According to the team, this change makes ML Kit fully focused on on-device machine learning. The benefits of this over cloud ML include speed, the ability to work offline, and more privacy. 

The Android development team is recommending that developers using ML Kit for Firebase’s on-device APIs migrate to the standalone SDK. Details on how to do so can be found in their migration guide. 

In addition to this new SDK, the team added a number of new features for developers, such as the ability to ship apps through Google Play Services. Features such as Barcode scanning and Text recognition could already be shipped through Google Play Services, and now Face detection/contour support is supported. Shipping through Google Play Services results in smaller app footprints and allows models to be reused across apps, the team explained.

The team has also added Android Jetpack Lifecycle support for all APIs. According to the team, it is now easier to integrate CameraX, which provides image quality improvements over Camera1. 

They introduced a new code lab to help developers get started with this CameraX integration and the new ML Kit. In the Recognize, Identify Language and Translate text code lab, developers learn how to build an Android app that uses ML Kit’s Text Recognition API to identify text from a real-time camera feed. It then uses the Language Identification API to determine the language, and then translates the text to a chosen language. 

The Android development team also offers an early access program for developers wishing to get access to upcoming features. Two new APIs included in the program are Entity Extraction, which detects entities in text, such as a phone number, and makes them actionable, and Pose Detection, which can detect movement for 33 skeletal points, including hands and feet. 

 

The post Android development team releases new ML Kit SDK appeared first on SD Times.



from SD Times https://ift.tt/2VhOUKl
Labels:

Comments

Post a Comment

Popular posts from this blog

Difference between Web Designer and Web Developer Neeraj Mishra The Crazy Programmer

Have you ever wondered about the distinctions between web developers’ and web designers’ duties and obligations? You’re not alone! Many people have trouble distinguishing between these two. Although they collaborate to publish new websites on the internet, web developers and web designers play very different roles. To put these job possibilities into perspective, consider the construction of a house. To create a vision for the house, including the visual components, the space planning and layout, the materials, and the overall appearance and sense of the space, you need an architect. That said, to translate an idea into a building, you need construction professionals to take those architectural drawings and put them into practice. Image Source In a similar vein, web development and design work together to create websites. Let’s examine the major responsibilities and distinctions between web developers and web designers. Let’s get going, shall we? What Does a Web Designer Do?
Post a Comment
Read more

A guide to data integration tools

CData Software is a leader in data access and connectivity solutions. It specializes in the development of data drivers and data access technologies for real-time access to online or on-premise applications, databases and web APIs. The company is focused on bringing data connectivity capabilities natively into tools organizations already use. It also features ETL/ELT solutions, enterprise connectors, and data visualization. Matillion ’s data transformation software empowers customers to extract data from a wide number of sources, load it into their chosen cloud data warehouse (CDW) and transform that data from its siloed source state, into analytics-ready insights – prepared for advanced analytics, machine learning, and artificial intelligence use cases. Only Matillion is purpose-built for Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Azure, enabling businesses to achieve new levels of simplicity, speed, scale, and savings. Trusted by companies of all sizes to meet
Post a Comment
Read more

2022: The year of hybrid work

Remote work was once considered a luxury to many, but in 2020, it became a necessity for a large portion of the workforce, as the scary and unknown COVID-19 virus sickened and even took the lives of so many people around the world.  Some workers were able to thrive in a remote setting, while others felt isolated and struggled to keep up a balance between their work and home lives. Last year saw the availability of life-saving vaccines, so companies were able to start having the conversation about what to do next. Should they keep everyone remote? Should they go back to working in the office full time? Or should they do something in between? Enter hybrid work, which offers a mix of the two. A Fall 2021 study conducted by Google revealed that over 75% of survey respondents expect hybrid work to become a standard practice within their organization within the next three years.  Thus, two years after the world abruptly shifted to widespread adoption of remote work, we are declaring 20
Post a Comment
Read more