On this page, you can filter all original works published on unthinking.photography in conjuction with all posts published on our imgexhaust Tumblr.

Filter results for [ImageNet]
06/05/20

How neural nets are really just looking at textures

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13/12/19

This object-recognition dataset stumped the world’s best computer vision models

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From Spectacle to Extraction. And All Over Again.

November 2019

I met with Kate Crawford and Trevor Paglen on the press preview of their exhibition Training Humans in Milan at Osservatorio Prada. It was the morning of September 11th –not a neutral day to unthink photography and the power operations of vast populations of images. On the contrary, it was the most apt one to seriously consider Crawford and Paglen’s proposition that "images are no longer spectacle but they are in fact looking back at us, being actors in a process of massive value extraction".

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21/11/19

An introductory presentation about Data / Set / Match, a year-long programme seeking new ways to present, visualise and...

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Where Did ImageNet Come From?

November 2019

In September 2019 the ImageNet creator Fei-Fei Li gave a talk at The Photographers' Gallery talking through the events and key people that led to the creation of visual datasets.

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An Introduction to Image Datasets

November 2019

In 2019 The Photographers' Gallery digital programme launched 'Data / Set / Match', a year-long programme that explores new ways to present, visualise and interrogate contemporary image datasets. This introductory essay presents some key concepts and questions that make the computer vision dataset an object of concern for artists, photographers, thinkers and photographic institutions.

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27/08/19

The success of ImageNet highlighted that in the era of deep learning, data was at least as important as algorithms. Not only did...

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19/07/19

We introduce natural adversarial examples – real-world, unmodified, and naturally occurring examples that cause classifier...

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17/07/19

As researchers, we have always wondered: if we scale up the amount of training data 10x, will the accuracy double?

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05/06/19

This labelling job has made me very observant. I have found pictures that made me think “if I had taken such a picture, then I...

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