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RSS FeedsLightroom CC 2.0: What`s new, and where is it headed?
(Digital Photography Review)

 
 

15 october 2018 20:11:56

 
Lightroom CC 2.0: What`s new, and where is it headed?
(Digital Photography Review)
 


Last year, Adobe shook up its Lightroom ecosystem - and quite a lot of its longtime customers - by announcing Lightroom CC 1.0, a completely new desktop photo management and editing app focused on Creative Cloud integration. The previous version lost its name to the upstart and was rebranded Lightroom Classic CC, leading many people to think, over Adobeīs sudden strenuous objections, that Classic was soon headed for the rejects bin. Today, Adobe released Lightroom CC 2.0 and Lightroom Classic CC 8.0, both still breathing and both with additional features. In this article Iīm specifically looking at whatīs new in Lightroom CC and how it fits into the greater Lightroom lineup (which includes mobile versions for iOS and Android), but itīs worth mentioning up front that photographers using Lightroom Classic shouldnīt feel anxious about the immediate future. Lightroom CC 2.0 Gets More Cloud-y One of the primary reasons for building a cloud-focused version of Lightroom is to be able to share an entire photo library among multiple devices. Lightroom CC uploads everything to Creative Cloud by default, even Raw files, and from that high perch it can ensure that the images and edits are in sync in Lightroom clients on the desktop, tablets, and phones. (You can also optionally store your photos on a local drive; the cloud isnīt the only repository, but it acts as the master record.) In Lightroom CC 2.0, Adobeīs Sensei machine-learning technology is responsible for many of the marquee new features Having a photo library in the cloud opens up possibilities for working with the image data on Adobeīs servers. The company already uses it to deliver better results when clicking the Auto button in Edit mode, and to search for objects and scenes based on visual recognition. In Lightroom CC 2.0, Adobeīs Sensei machine-learning technology is responsible for many of the marquee new features. People View Facial recognition is a processor-intensive task, as anyone ...


 
19 viewsCategory: Culture > Photography
 
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