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National Pokedex: #113

PKMN Report collection image

The collection is a series of photos that I’ve captured in the world of the classic video game, Pokemon Snap. All of the photos have been 100% made in a digital setting (even the Nintendo 64 that I played the game in, was emulated!).

The project analyzes three touchstones that traditionally measure the quality of a photo: composition, resolution, and scarcity. The images were captured, then rated by an in-game algorithm manifested as Professor Oak who has a set of standards in which to grade your photos (first touchstone). Those images were then extracted from the game at a whopping 640 pixels wide and fed through a neural network adding pixels to the photos (second touchstone). Finally, the number of editions that were minted is based on the score Professor Oak has given the photos, lower score = more editions (third touchstone).

The goal of this series is to spark a conversation about the relationship of subjectivity in photography, digital sovereignty, pop culture, and nostalgia.

Dirección del contrato0x495f...7b5e
ID del token
Estándar de tokenERC-1155
CadenaEthereum
MetadatosCentralizado
Ganancias del creador
10%

CHANSEY 3480

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50 artículos
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26 visualizaciones
  • Precio unitario
    Precio unitario en USD
    Cantidad
    Vencimiento
    De
  • Precio unitario
    Precio unitario en USD
    Cantidad
    Diferencia de suelo
    Vencimiento
    De
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Precio unitario
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CHANSEY 3480

view_module
50 artículos
visibility
26 visualizaciones
  • Precio unitario
    Precio unitario en USD
    Cantidad
    Vencimiento
    De
  • Precio unitario
    Precio unitario en USD
    Cantidad
    Diferencia de suelo
    Vencimiento
    De

National Pokedex: #113

PKMN Report collection image

The collection is a series of photos that I’ve captured in the world of the classic video game, Pokemon Snap. All of the photos have been 100% made in a digital setting (even the Nintendo 64 that I played the game in, was emulated!).

The project analyzes three touchstones that traditionally measure the quality of a photo: composition, resolution, and scarcity. The images were captured, then rated by an in-game algorithm manifested as Professor Oak who has a set of standards in which to grade your photos (first touchstone). Those images were then extracted from the game at a whopping 640 pixels wide and fed through a neural network adding pixels to the photos (second touchstone). Finally, the number of editions that were minted is based on the score Professor Oak has given the photos, lower score = more editions (third touchstone).

The goal of this series is to spark a conversation about the relationship of subjectivity in photography, digital sovereignty, pop culture, and nostalgia.

Dirección del contrato0x495f...7b5e
ID del token
Estándar de tokenERC-1155
CadenaEthereum
MetadatosCentralizado
Ganancias del creador
10%
keyboard_arrow_down
Evento
Precio unitario
Cantidad
De
Para
Fecha