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Jake Elwes

Zizi - Queering the Dataset #1

2019

NFT

NFT, 0:30 min, 1024 × 1024 px, Ethereum

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‘Zizi - Queering the Dataset’ aims to tackle the lack of representation and diversity in the training datasets often used by facial recognition systems. The video was made by disrupting these systems** and re-training them with the addition of drag and gender fluid faces found online. This causes the weights inside the neural network to shift away from the normative identities it was originally trained on and into a space of queerness. ‘Zizi - Queering The Dataset’ lets us peek inside the machin

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Production year

2019

Medium

Digital Video

Asset type

MP4

Dimensions (H x W)

1024 × 1024 px

Duration

0:30 min

Chain information

Minted on

SuperRare

Blockchain

Ethereum

Contract address

Token ID

26873

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Certificate of Authenticity

Certificate of Authenticity

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