Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Fizzy Delight

Fizzy Delight

Caption

A refreshing bottle of Fanta, captured with a laptop and computer keyboard in the backdrop, brings alive the perfect harmony of technology and taste.

BLIP-2 Description:

a bottle of fanta

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Metadata

Capture date:

Wednesday, January 8th, 2003 at 4:30:09 AM

Original Dimensions:

480w x 640h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Nishishinjuku, Shinjuku, Kanto, Japan (35.69,139.69)

Tags

Detected Text

Albums

Photo Archive/2005/08 08

Places

Tokyo Metropolitan Government Office

Venues

BASE Third Place Bar Udatsu Sushi View & Kitchen Quad 17 Asian Cuisine Dining Japanese Cuisine Restaurant Sushi Restaurant

EXIF Data:

flash fired

true

metering mode

5

aperture

f/2.5

focal length

6mm

shutter speed

1/30s

camera make

CASIO COMPUTER CO.,LTD.

camera model

Apple Photos ML Scores

overall (21.78%)

curation (50.00%)

highlight visibility (2.44%)

behavioral (70.24%)

failure (-3.54%)

harmonious color (-1.18%)

immersiveness (1.37%)

interaction (1.00%)

interesting subject (-55.96%)

intrusive object presence (-9.64%)

lively color (-5.19%)

low light (42.26%)

noise (-10.13%)

pleasant camera tilt (-6.76%)

pleasant composition (-39.26%)

pleasant lighting (-50.68%)

pleasant pattern (4.49%)

pleasant perspective (-6.50%)

pleasant post processing (5.73%)

pleasant reflection (-4.90%)

pleasant symmetry (0.78%)

sharply focused subject (0.63%)

tastefully blurred (-42.80%)

well chosen subject (-33.59%)

well framed subject (14.34%)

well timed shot (-4.45%)

all (-7.22%)

* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little... weird.

* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301 from OpenAI) based on a BLIP-2 image-to-text labeling, tags, location, people and album metadata from the image and are potentially inaccurate, often hilariously so. If you'd like me to adjust anything, just reach out.