Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Blowfish Dinner in Tokyo

Blowfish Dinner in Tokyo

Caption

A table full of delicious Japanese cuisine and chopsticks, enjoyed during a trip to Tokyo in 2003.

BLIP-2 Description:

a table with food and chopsticks on it

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Metadata

Capture date:

Wednesday, January 15th, 2003 at 10:14:06 AM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

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

Tags

Albums

Photo Archive/2003/japan_trip/blowfish_dinner blowfish_dinner

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 (33.69%)

curation (50.00%)

highlight visibility (4.36%)

behavioral (70.57%)

failure (-0.22%)

harmonious color (3.31%)

immersiveness (0.12%)

interaction (1.00%)

interesting subject (-48.68%)

intrusive object presence (-11.43%)

lively color (-7.06%)

low light (33.72%)

noise (-5.40%)

pleasant camera tilt (-4.40%)

pleasant composition (-67.33%)

pleasant lighting (-21.74%)

pleasant pattern (2.44%)

pleasant perspective (14.44%)

pleasant post processing (0.86%)

pleasant reflection (-3.48%)

pleasant symmetry (0.49%)

sharply focused subject (2.10%)

tastefully blurred (0.27%)

well chosen subject (-7.01%)

well framed subject (-2.05%)

well timed shot (2.27%)

all (-2.75%)

* 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.