Photos | Dining and Drinking in Tokyo

A man wearing a white sweater enjoys a pint of beer at a restaurant in the Tokyo Metropolitan Government Office building. He is surrounded by two other people and a tabletop filled with utensils and eyeglasses.
BLIP-2 Description:
man wearing a white sweaterMetadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
Location:
architecture dining table beer glass tableware optical building pub portrait food stout baby beverage equipment liquor restaurant furniture utensil coffee container court eyeglasses drinking alcohol desk glasses indoors dining tabletop beer bottle table room accessories nishishinjuku photography cup bottle
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
2002-01-07T08:34:03-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(19.43%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.72%)
failure
(-0.49%)
harmonious color
(-1.31%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-45.24%)
intrusive object presence
(-25.46%)
lively color
(-8.34%)
low light
(47.19%)
noise
(-13.35%)
pleasant camera tilt
(-16.17%)
pleasant composition
(-78.37%)
pleasant lighting
(-39.40%)
pleasant pattern
(4.08%)
pleasant perspective
(-15.33%)
pleasant post processing
(3.64%)
pleasant reflection
(-2.94%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.22%)
tastefully blurred
(-3.81%)
well chosen subject
(-19.85%)
well framed subject
(-25.88%)
well timed shot
(-10.74%)
all
(-10.29%)
* 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.