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Untitled

Untitled

2025

C-print, 92× 70 cm

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 Chihuahua vs. blueberry muffin clickbait

Chihuahua vs. blueberry muffin clickbait

2025

C-print, 70x70cm

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Adversarial image, aimed at causing computer vision models to misclassify due to overlapping low-level features.

Gelato

Gelato

2025

C-print, 92× 70 cm

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Also known as Gelato 33 or Larry Bird, this predominantly Indica strain is the result of the alchemy between Sunset Sherbet and Thin Mint Girl Scout Cookies.

This hybrid, of exquisite taste, was handcrafted by Sherbinskis in the heart of the vibrant city of San Francisco.

Triangle

Triangle

2025

C-print, 92× 70 cm

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1980 (Common object in context dataset)

1980 (Common object in context dataset)

2025

C-print, 96x74 cm

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Watermelon

Watermelon

2025

C-print, 96x68 cm

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Yuva package

Yuva package

2025

C-print, 96x68 cm

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Stromal lymphocytes - coloured

Stromal lymphocytes - coloured

2025

C-print, 82× 50 cm

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Colour-enhanced, transmission electron micrograph of a mass of small lymphocytes in the conjunctiva of a patient with an autoimmune ulceration of the cornea.

The cells have large nuclei and numerous mitochondria. A centriole can be seen towards the centre left of the centre top cell. Collagen fibrils (green) are visible in the stroma between the cells. courtesy Wellcome Collection

Eliza 2024

Eliza 2024

2025

C-print, 50× 40 cm, Modified Radioshack brochure

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Cat (Common object in context dataset)

Cat (Common object in context dataset)

2025

C-print, 82× 50 cm

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I had to put her back into order

I had to put her back into order

2025

C-print, 82× 50 cm

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Kebab  (Coco dataset)

Kebab (Coco dataset)

2025

C-print, 92× 70 cm

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Blue rectangles represent coral (MLC dataset)

Blue rectangles represent coral (MLC dataset)

2025

C-print, 70× 70 cm

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The Moorea Labeled Corals dataset is a subset of the Moorea Coral Reef-Long Term Ecological Research (MCR-LTER) dataset packaged for Computer Vision research. It contains over 400.000 human expert annotations on 2055 coral reef survey images from the island of Moorea in French Polynesia. Each image has 200 expert random point annotations, indicating the substrate underneath each point.

Baseball, Land Use Dataset 132

Baseball, Land Use Dataset 132

2026

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UC Merced Land Use Dataset, 2010. This is a 21 class land use image dataset meant for research purposes. The images were manually extracted from large images from the USGS National Map Urban Area Imagery collection for various urban areas around the country. The pixel resolution of this public domain imagery is 1 foot.

Yi Yang and Shawn Newsam, "Bag-Of-Visual-Words and Spatial Extensions for Land-Use Classification," ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), 2010.