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Google: Google says Photos app can now recognise users from behind, here’s how – Times of India

Google: Google says Photos app can now recognise users from behind, here’s how – Times of India

Google Photos facial recognition enables users to group photos of people with similar faces. Last week, a report claimed that the app has the ability to recognise people even if there is no face visible in the photo. Google has now confirmed the improvement in the ability to tag people correctly with the right name.
How Google Photos facial recognition works
GooglePhotos’ facial recognition feature uses machine learning to make it easy for users to label people or even pets that appear in photos by offering suggestions in order to add photos to the group.This enables them to quickly search and manage photos of specific people or pets within the app.Citing Google, a report by Android Authority said that the company explained how the improved feature works.
“We continuously improve our ability to help people organise and find photos of themselves and loved ones,” Google was quoted as saying.
The company said that it recently improved its models so Google Photos can better group people based on clothing and other visual cues. While there is no information on the “other visual cues”, it applies machine learning models across photos taken within a similar timeframe to better judge who is in the photo.

Google Photos’ cinematic effect
The development comes a few days after it was reported that Google was testing an “on-demand” cinematic effect feature in the Photos app. Some users were able to spot an option to create cinematic photos under the ‘Utilities’ option in the Google Photos Library tab.
Currently, it enables users to animate, collage and movies. It is to be noted that Google Photos automatically creates Cinematic Photo. But the under-development feature will give users the ability to select a photo and even specify the duration of the resulting video. It is to be noted that the quality of the effect will depend on the quality of the image chosen by the user.

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