Pixel 10 Pro XL goes to Paris: Among the hundreds of pictures, this is my favorite


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The phone devices have not changed much from last year, with a main camera of 50 megapixels, a 48 -megapixel Ultrawide camera, a 48 -megapixel phone camera that provides 5X visual action.

With the new processor and a set of software improvements, Google says it has made the best camera phone so far. To test the company’s pride, I went to the streets.

You are testing Pixel 10 Pro XL, which has a identical camera setting up to PIZE Pixel 10 Pro. Also note that to reduce file sizes for online display, all pictures were first imported to Adobe Lightroom and saved as JPEGS with a length of 3000 pixels on the longest edge. No other modifications were made unless otherwise.

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It was my first snapshot meters away from my hotel: a man in a hurry carrying a small thin dog. It is a classic scene, but the most impressive thing is the speed through which I can shoot and how the phone seized the fast movement without fog. It looks stable, but he was pressing him.

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In addition to the road, I found a better animal: this cat wanders on a mat. Total exposure is solid, detail is PIN-SARP. Good work of pixels here.

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This scene is great, not only because of the famous old Citreon, but because of the vibrant colors picked up by the phone. This orange truly fixed organic pollutants and total exposure is a spot on.

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Beautiful views in every road in Paris.

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No, really, below all road. This is a great example of HDR capabilities for the phone, in fact. She kept the bright sky under control, but also maintained a lot of details in the mysterious parts of the scene.

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It is the same here too. Although it is a very contradictory scene, the Pixel not only acquired it equally, but it is done without making it appear “very treating”, to a large extent by not raising the shadows to an abnormal extent. It looks balanced but realistic as well. I really like.

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Even under these trees, there is still a general exposure in general.

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By switching to the super camera, it’s the same story. Decally, there is also no shift in colors when switching between lenses. I have tested many phones as there is a noticeable difference in colors when they go widely, but the pixels have been passed.

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Ultrawide did a crack here as well, with a beautiful blue sky.

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Ultrawide has intentionally used here to emphasize the road curve and the tract and give more dramatic framing for the bike. I love how the phone presented this image.

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I also photographed this in DNG RAW, and I found that there is a decent length lines to give the scene “look” at Adobe Lightroom.

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In this skillful church, the super lens has struggled slightly more with fine details, but it is still a good shot with strong exposure.

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Old interface, captured on 2x zoom.

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A more vibrant store interface, it is also taken in 2x Zoom. I love bold colors here – the pixel colors are exceptionally flour.

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Red is one of these umbrellas really fixed organic pollutants here.

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With the main camera, exposure and details on the cathedral are great.

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The zooming is still to 5X using a telephone lens leading to a selkat pin image.

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You can enlarge up to 30x, and AI will simply increase the details to get some additional clarity. It works well.

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The zoom is more than 100x and the phone will already use the obstetric artificial intelligence to rebuild the lost details in a scene. On the left is the original version, while on the right is the artificial intelligence version. It definitely made it more clear.

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The blue umbrella of this person could not have been placed in a better position.

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The artificial intelligence tool did not succeed here as well, as the faint image of the plane in the original image (left) is converted into a strange mixture of sticks with a red nose in the form of artificial intelligence (right).

But it raises an important question: If the phone uses the Importer IQ to re -create details in a scene, is it really a picture you take? Google is definitely trying to precede some moral issues here in that it says that this artificial intelligence tool will not be applied to the faces “to prevent delicate acting.”

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With the main lens, this scene looks somewhat abnormal, with a very dark blue sky, it is definitely vibrant.

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Clear details about this man overlooking the city.

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I love colors in this shot.

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This dog was not happy to take his picture, but in his defense, he was with the iPhone user.

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I used 30x enlargement to take this snapshot for a gorgeous sausage dog. Although I do not like somewhat soft details, I love to seize the epic side of the dog itself.

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Other new artificial intelligence features include better, which automatically integrate multiple group images in an image in which everyone smiles and looks in the right way. This was an advantage over the oldest pixel phones, but the process is fully automated now.

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There is also a personal camera. Look at this man. What is his story? Is it wonderful? It looks very cool.

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It was only after she climbed along the steps that I realized was strange. You can almost get angry in this picture.

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Oh, it’s another beautiful Parisian street. I think I have a cup of wine here shortly after.

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Details of the closest that are still beautiful and fragile.

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This total shot of chips (yes, we call it chips here, and fried potatoes are not already French) packed with detail. And salt.

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Another main AI tool on the phone is the camera coach, which uses artificial intelligence to analyze the scene in front of the camera and provide you with steps to help you take a better picture. Here, the phone suggested that I use the image position and put the person in the middle of the frame. As a professional photographer for more than a decade, I was grateful for this advice that affects the need.



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