Prakhar Khanna/Digital Trendsīy contrast, this image was taken on a DSLR, and iOS 16 was smart enough to retain the laptop alongside me. The edges around the hair could’ve been much better. iOS 16 went with the portrait mode data to cut out the edges very clearly but got deceived in the same areas where the camera didn’t do well. But it got tricked in the area near my glasses and hair. This image was captured on the Huawei P50 Pro, which has one of the best portrait modes on a smartphone. The above image wasn’t taken in portrait mode, but iOS 16 still did a decent job at the edges. For instance, I cropped myself in this image, but the arm of the person sitting beside me couldn’t be removed even when I tapped on myself to lift the subject from the background. But if you are sitting with someone, and both of you are on the same axis, it’ll pick both of you. Here, iOS 16 did a decent job in removing the face reflection of a person in the background. It could be because the portrait mode might have blurred that area, but it’s a strange anomaly nonetheless. But, for some reason, iOS 16 created a blooming effect at my bottom. It did a decent job in maintaining the edges – even the hair. For instance, the above photo was taken in portrait mode on the iPhone 12. I noticed that it was far easier for iOS 16 to remove the subject from a background when the image was captured in portrait mode. The end result certainly isn’t bad, but it’s an example that there’s still room for improvement. ![]() It would have been much better if we could get an option to erase parts of the image we didn’t want – something we hope Apple is working on. We were worried if iOS 16 would pick the objects in the background alongside the subject, but instead, it picked the human hand. Next up is another photo of a cat indoors, but this time with a person petting it. Apple’s new feature moved the cat from the background with precise edges even in low-lit areas like his tail. Secondly, the sunlight falls on the cat’s head, which could’ve confused iOS 16’s guesswork. First, it’s indoors, so there is not enough light in some areas around the cat. The image is challenging for two reasons. While the AI did a good job in well-lit scenarios, Maring and I pushed the limits with this image of his cat sitting on the side of the window. It is worth noting that alongside the edges of the dog, the edges of his belt were discretely moved from the background. I tapped on the dog to lift him off the background, and it worked on the first try. Our Section Editor, Joe Maring, sent me this image of his dog in focus with the background far away. While I would have liked to have an option to pick just the phone instead of also saving my hand, it did a fine job with the edges. iOS 16 smartly understood the subject and picked up the phone with my hand. I chose this second image because I captured it with the portrait mode effect on the iPhone - giving an artistic look to the picture. IPhone 15: release date and price predictions, leaks, rumors, and more Your Google One plan just got 2 big security updates to keep you safe onlineĪndroid does this one thing so much better than iOS, and it drives me crazy The AI precisely removed the background with clear edges where there was sufficient light but struggled with the shadows of the case and earbuds. I tapped and held on to the packaging and the system was smart enough to recognize the subject in focus. It was taken on a DSLR, which highlighted the earbuds and their case while blurring the packaging. The first image is of the Sony WF-1000XM4 earbuds. ![]() After trying the feature on 10 different images, the results speak for themselves. I also tested images of objects, pets, and many other pictures in challenging environments. Some were captured by a DSLR, others with a smartphone camera with and without portrait mode. I tried the feature on a wide range of photos. You can lift the subject from the background of an image by simply holding it and pasting it in Messages, Telegram, Safari, etc. It’s an intriguing feature that combines years of AI research and development.
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