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2019
Jake Elwes
NFT, 1024 x 1024 px, Ethereum
‘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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Jake Elwes
1993
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Production year | 2019 |
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Medium | Digital Video |
Asset type | MP4 |
Dimensions (H x W) | 1024 x 1024 px |
Duration | 0:30 min |
Certificate | Certificate of Authenticity |
Minted on | ![]() SuperRare |
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Blockchain | Ethereum |
Contract address | |
Token ID | 26875 |
Owner |