Why iPhone is so much popular on Flickr?

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Flickr shows various statistics of usage of its site and one of them is the “Most Popular Cameras in the Flickr Community". It’s absolutely incredible to see a camera phone standing out amongst some of the top class SLR cameras. Is it because this phone’s camera beats the rest? Absolutely not! The only thing is that the iPhone has an exceedingly large user base and a camera better than many camera phones, but certainly not comparable to SLRs which many misunderstand. Using the iPhone’s camera is as easy as it could be with just basic features. Apart from the large user base, the iPhone has awesome cool apps which make it amazingly easier for its users to share photos in Flickr.

Read more: What is the best Contrast, Sharpness, Saturation, ISO settings for your camera? »

As Flickr says about it’s graphs : “These graphs show the number of Flickr members who have uploaded at least one photo or video with a particular camera on a given day over the last year.
The graphs are "normalized", which is a fancy way of saying that they automatically correct for the fact that more people join Flickr each day: the graph moving up or down indicates a change in the camera's popularity relative to all other cameras used by Flickr members.
The graphs are only accurate to the extent that we can automatically detect the camera used to take the photo or shoot the video (about 2/3rds of the time). That is not usually possible with camera phones, therefore they are under-represented.”

Flickr Popular Cameras
Flickr Popular Cameras

As it appears the photos taken by the iPhone continue to look cooler each an everyday. It’s great to see photos taken by a camera phone continue to dominate a world-class photo sharing site as Flickr. Some of the coolest apps if you require you can get here.

Author: Rahul Bhattacharya

Rahul is a journalist with expertise in researching a variety of topics and writing engaging contents. He is also a data analyst and an expert in visualizing business scenarios using data science. Rahul is skilled in a number of programming languages and data analysis tools. When he is not busy writing, Rahul can be found somewhere in the Appalachian trails or in an ethnic restaurant in Chicago.

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