image datasets

Taking inspiration from John Berger's Ways of Seeing, this website features activities for Art & Design teachers to share ideas which explore current developments in image-based AI.
An article by Linda Kronman that "analyses the cybernetic loop between human and machine classification by examining artworks that depict instances of bias when machine vision is classifying humans …
Reconstructing realistic images with high semantic fidelity is still a challenging problem. Let's try with a latent diffusion model.
MOMA speak with three artists—Kate Crawford, Trevor Paglen, and Refik Anadol—who engage with the ways that AI and machine learning algorithms are demanding new approaches to artmaking.
The Electronic Frontier Foundation releases images of surveillance technologies taken along the U.S. Mexico border.
Why opting out from image datasets is not an effective governance mechanism for artists.
AI images are data patterns inscribed into pictures, and they tell us stories about that dataset and the human decisions behind it.
TPG
2021-01
A genealogy of one of the most important datasets in AI.
We propose Localized Narratives, a new form of multimodal image annotations connecting vision and language. We ask annotators to describe an image with their voice while simultaneously hovering their …
I proposed what would become Lacework in the Summer of 2019. In my proposal, I describe a cycle of videos curated from MIT's 'Moments In Time' dataset, each then slowed down, interpolated, and upscaled immensely into imagined detail, one flowing into another like a river...
June 29th, 2020 It has been brought to our attention [1] that the Tiny Images dataset contains some derogatory terms as categories and offensive images. This was a consequence of the automated data …
I write this from my small New York apartment in my fourth month of isolation. The pandemic has required each of us to slow down and do less, and I keep thinking of a childhood friend who once told me, “We’re human beings, not human doings”. Even as a teenager, I knew this was an important paradigm shift: it meant that we could rethink how we …
Lacework is a new work by Everest Pipkin that uses artificial neural networks to reinscribe the videos of MIT’s Moments in Time Dataset.
This article weaves a thread between two commissions, historically through Virginia Woolf, technologically by computational juxtaposition, as well as poetically in the viewer’s experience through a speculative remix.
A speculative remix that confronts Epic Kitchens, a dataset of first-person cooking videos, with quotations from literature written during or about prior pandemics such as the bubonic plague and the global influenza pandemic of 1918-19.
This article is an overview of the projects 'Epic Handwashing in a Time of Lost Narratives' and 'A Kitchen of One's Own' weaving a thread between the technical and the conceptual: the projects are linked historically by the writing and arguments put forth by Virginia Woolf, technologically by computational juxtapositions of text and image, as well …
Philipp Schmitt's 'Declassifier' uses a computer vision algorithm trained on COCO, an image dataset developed by Microsoft in 2014.
The Future Is Here!, the title of Mimi Onuoha’s video project reflecting the human side of crowdsourced image labelling, is spot on. The stories I have been told by crowd workers from across the globe doing this work full-time indeed often have an eerily Gibsonian ring to them. Especially the stories from Venezuela.
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 …
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 …
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.
An introductory presentation about Data / Set / Match, a year-long programme seeking new ways to present, visualise and interrogate contemporary image datasets. Departing from traditional 19th and …
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, …
TPG
2019-09
Generated Photos 100,000 Faces Generated by AI Free to Download These people aren’t real! We are building the next generation of media through the power of AI (an original machine learning …
What do you see, YOLO9000? by Taller Estampa | Soy Cámara YOLO9000 is a trained object recognition neuronal network with a dataset of 9,418 words and millions of images. It is one of the many …
To mitigate the race bias in these datasets, we construct a novel face image dataset, containing 108,501 images, with an emphasis of balanced race composition in the dataset. We define 7 race groups: …
68 Likes, 1 Comments - Victor Wang (王宗孚) (@viktorwang) on Instagram: “Artist Trevor Paglen’s installation ‘From Apple to Kleptomaniac’ (2019) and Haroon Mirza’s…”
VFRAME Adam Harvey A collection of open-source computer vision software tools designed specifically for human rights investigations that rely on large datasets of visual media. Specifically VFRAME is …
The new system, called Dreambit, analyzes the input photo and searches for a subset of photographs available online that match it for shape, pose, and expression, automatically synthesizing them …