Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Table Setting at Simon's Pad Ebisu

Table Setting at Simon's Pad Ebisu

Caption

A cup of drink, an open magazine, and a cigarette resting on a dining table at Simon's Pad Ebisu in Tokyo, Japan.

BLIP-2 Description:

a table with a magazine, a cigarette, and a drink

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Metadata

Capture date:

Thursday, January 9th, 2003 at 9th:52:13 AM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

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

Tags

Detected Text

Albums

Photo Archive/2003/japan_trip/simons_pad_ebisu simons_pad_ebisu

Places

Tokyo Metropolitan Government Office

Venues

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

date

2002-01-09T09:52:13-08:00

tzoffset

-28800

tzname

America/Los_Angeles

Apple Photos ML Scores

overall (17.36%)

curation (50.00%)

highlight visibility (2.45%)

behavioral (70.42%)

failure (-0.37%)

harmonious color (-0.47%)

immersiveness (0.07%)

interaction (1.00%)

interesting subject (-70.26%)

intrusive object presence (-9.11%)

lively color (-11.25%)

low light (97.22%)

noise (-9.30%)

pleasant camera tilt (-13.56%)

pleasant composition (-83.59%)

pleasant lighting (-65.28%)

pleasant pattern (1.71%)

pleasant perspective (-3.06%)

pleasant post processing (-1.31%)

pleasant reflection (-4.45%)

pleasant symmetry (0.15%)

sharply focused subject (0.39%)

tastefully blurred (-5.76%)

well chosen subject (-4.03%)

well framed subject (-14.05%)

well timed shot (5.48%)

all (-10.86%)

* 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.