"I Fear The Light" SOLD Thanks to Saatchi Art by Matthew Farrar

This beautiful photograph of the swimmer, shielding himself from the bright light, caught in a suspended animation. The 45" x 30" first edition is from a run of only 10 and it has just been acquired by a collector. Soon to be hanging on the walls of it's new home.'ll try and bring you the instal shots once it' is hung.

"I Fear The Light" 2017 is a new release from the 'Night Swimmers' series and sisters a second image entitled 'I See  The Light' 2017, also available both here at mattfarrarimage.com and on the Saatchi Art website.


I Fear The Light SOLD.jpeg

Venice Biennale 2018 Architecture (SPONSORSHIP) by Matthew Farrar

I've been invited by the GAA Foundation to exhibit a series of my photographic works on architecture. Unfortunately the production costs are so high, with the printing, mounting, framing shipping and installing, the only way I see possible for me to except is if I can get some financial help to deal with these costs. 

The Foundation have put together a package in the form of a pdf. for any interested parties, outlining the benefits of having your company name present and visible at the Biennale.

If you think this would be of interest or benefit to your business then please do get in touch with myself or with Laura @arte_mea www.artemeaadvisory.com

Biennale Artboard-1.jpg
Biennale Artboard-2.jpg

Are Google Photos Free ? by Matthew Farrar


The potential of photographic data

An image may be worth 1000 words, but image metadata may spill far more information than that, especially when applied to a Google service. According to this year’s Google I/O keynote, the Photos service will offer a search function that can find people, places, and objects — all without any active tagging on the end user’s part.

It does this in part by scanning your image’s metadata: the location and other information your camera builds into the underlying code of your digital image. For the rest, I suspect Google is inventing its own supplemental metadata, using rapid image scans and automatic face detection as part of the company’s continuous “machine learning” system. It may not be perfect at the start, but as Google gets more and more photographs to scan, it could become the most accurate auto-tagging service on the Internet.
  Where's Nessie ?  This is just a photo added to make the post a little more enticing.   

Where's Nessie ? This is just a photo added to make the post a little more enticing.


'Toronto Concrete' Revisited. by Matthew Farrar

I revisited the scene of 'Toronto Concrete'. I wanted to see if I could find the exact spot. Unfortunately the paths were fenced off to the public, so I thought... Sod it ! I'm going back to the hotel. I slept on it. Here are some photographs I shot the very next day, of the same concrete building from a rather tricky angle. The perspective is doing strange things to my eyes. Two have lens correction. I kinda like the natural bulge of the lens. I've done some slight editing in that I like the look of the 1970's colour textbook style images.

Toronto Concrete. 2013

Toronto City Hall against the backdrop of the Sheraton Centre Toronto Hotel, taken in May 2013

The rain spoils the stone. 
The multi-story windows watch the story unfold.