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创作者 C0F93A
创作者 C0F93A
“Border Birds” is a series of photographs of birds, automatically captured while crossing a border. This was achieved by creating software that detects birds on footage captured by open surveillance cameras placed at boundary lines. The software used artificial intelligence running on a 24/7 server between the dates of March 10th and April 10th, 2022. The server captured more than 3,474 birds through multiple cameras around the world. Later, a curated selection of 100 Border Birds was made.
50% of the artist revenue from this project goes to the European network of migrant women & the international Committee of the Red Cross (ICRC), supporting refugees.
These Border Birds were spotted crossing the border between the United States and Mexico, on April 5th 2022 at 7:12 PM.
The artists monitored different cameras at the borders of United States/Mexico, Morocco/Spain, Greece/Turkey, France/United Kingdom and Morocco/United Kingdom.
A project by siblings Bieke & Dries Depoorter. www.driesdepoorter.com www.biekedepoorter.com
Project website: https://twt.obscura.io.
138 world-class, established and emerging photographers from 5 continents brought together by Obscura to take the 1st global visual timestamp of the 21st century. 13,800 native 1/1 NFT photographs of cities, landscapes, communities, people, events and conceptual images that will tell our story for centuries to come, taken Mar-Apr 2022.
An ode to the 1955 exhibition “The Family of Man” by legendary curator Edward Steichen for the MoMA, The World Today uses the blockchain to create a permanent record of our world, rich in metadata connections that further develop and cross-reference the stories within, resulting in a complex net of properties and rarities including 138 curated grails, 1 from each artist.
TWT expanded the frontier of possibilities for photography in the web3 era, and is responsible for onboarding dozens world-class photographers to NFTs.
Border Bird 059 - USA/Mexico - 05.04.2022 - 7:12 PM
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twtauctions.eth
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Border Bird 059 - USA/Mexico - 05.04.2022 - 7:12 PM
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twtauctions.eth
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visibility
4 查看- 价格美元价格数量到期自
- 价格美元价格数量地板价差异到期自
创作者 C0F93A
创作者 C0F93A
“Border Birds” is a series of photographs of birds, automatically captured while crossing a border. This was achieved by creating software that detects birds on footage captured by open surveillance cameras placed at boundary lines. The software used artificial intelligence running on a 24/7 server between the dates of March 10th and April 10th, 2022. The server captured more than 3,474 birds through multiple cameras around the world. Later, a curated selection of 100 Border Birds was made.
50% of the artist revenue from this project goes to the European network of migrant women & the international Committee of the Red Cross (ICRC), supporting refugees.
These Border Birds were spotted crossing the border between the United States and Mexico, on April 5th 2022 at 7:12 PM.
The artists monitored different cameras at the borders of United States/Mexico, Morocco/Spain, Greece/Turkey, France/United Kingdom and Morocco/United Kingdom.
A project by siblings Bieke & Dries Depoorter. www.driesdepoorter.com www.biekedepoorter.com
Project website: https://twt.obscura.io.
138 world-class, established and emerging photographers from 5 continents brought together by Obscura to take the 1st global visual timestamp of the 21st century. 13,800 native 1/1 NFT photographs of cities, landscapes, communities, people, events and conceptual images that will tell our story for centuries to come, taken Mar-Apr 2022.
An ode to the 1955 exhibition “The Family of Man” by legendary curator Edward Steichen for the MoMA, The World Today uses the blockchain to create a permanent record of our world, rich in metadata connections that further develop and cross-reference the stories within, resulting in a complex net of properties and rarities including 138 curated grails, 1 from each artist.
TWT expanded the frontier of possibilities for photography in the web3 era, and is responsible for onboarding dozens world-class photographers to NFTs.
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