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 [computer vision]
28/01/20

Reconstructing 3D human shape and pose from a monocular image Reconstructing 3D human shape and pose from a monocular image is...

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13/12/19

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

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I’m looking at you, looking at me

November 2019

In Heather Dewey-Hagborg’s artwork ‘How do you see me?’, commissioned for the Data/Set/Match programme at The Photographers’ Gallery, the artist explores how machines see us. A question that has been carefully slipping through several areas of production and research during the past couple of decades. At the same time an essential need has also emerged to understand the processes and internal mechanisms that are usually hidden from or mysterious to the user: commenting on those who code, train, build these mechanisms and how this translates into what happens outside of the screen.

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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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30/09/19

Three New Cameras Camera Restricta - Philipp Schmitt, 2015 Camera Restricta is a speculative design of a new kind of camera. It...

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17/09/19

DeepPrivacy A fully automatic anonymization technique for images. This repository contains the source code for the paper...

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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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