21 september 2019
20 september 2019
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19 september 2019
ImageNet Roulette: Diver, plunger
ImageNet Roulette: An Experiment in Classification
ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the “Person” categories from the ImageNet dataset which has over 2,500 labels used to classify images of people.
De oorspronkelijke foto:
ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the “Person” categories from the ImageNet dataset which has over 2,500 labels used to classify images of people.
De oorspronkelijke foto:
18 september 2019
ImageNet Roulette: Black
ImageNet Roulette: An Experiment in Classification
ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the “Person” categories from the ImageNet dataset which has over 2,500 labels used to classify images of people.
De oorspronkelijke foto:
ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the “Person” categories from the ImageNet dataset which has over 2,500 labels used to classify images of people.
De oorspronkelijke foto:
ImageNet Roulette: Jihadist
ImageNet Roulette: An Experiment in Classification
ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the “Person” categories from the ImageNet dataset which has over 2,500 labels used to classify images of people.
De oorspronkelijke foto:
ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the “Person” categories from the ImageNet dataset which has over 2,500 labels used to classify images of people.
De oorspronkelijke foto:
ImageNet Roulette: Beard & Young Buck
ImageNet Roulette: An Experiment in Classification
ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the “Person” categories from the ImageNet dataset which has over 2,500 labels used to classify images of people.
De oorspronkelijke foto’s:
ImageNet Roulette is a provocation designed to help us see into the ways that humans are classified in machine learning systems. It uses a neural network trained on the “Person” categories from the ImageNet dataset which has over 2,500 labels used to classify images of people.
De oorspronkelijke foto’s:
17 september 2019
15 september 2019
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