Photos | Dining in Tokyo

A man and a woman examine a menu while sitting at a table in a bustling Japanese food court. The interior room is adorned with furniture and utensils, creating an inviting atmosphere for patrons.
BLIP-2 Description:
a man and woman sitting at a table with a menuMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture dining table glass beer wine page tableware irma building pub food portrait bar beverage liquor restaurant furniture utensil tokyo_with_irma text court wood tokyo drinking document japan sitting alcohol indoors dining bar counter table room trip cafe home nishishinjuku decor photography printed cup linen
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
2002-01-06T10:04:24-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(19.31%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.83%)
harmonious color
(-1.33%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-49.76%)
intrusive object presence
(-20.90%)
lively color
(-16.72%)
low light
(99.22%)
noise
(-18.65%)
pleasant camera tilt
(-10.36%)
pleasant composition
(-76.86%)
pleasant lighting
(-64.16%)
pleasant pattern
(2.20%)
pleasant perspective
(-13.40%)
pleasant post processing
(-1.39%)
pleasant reflection
(1.91%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.27%)
tastefully blurred
(-26.03%)
well chosen subject
(-14.43%)
well framed subject
(-22.24%)
well timed shot
(-12.02%)
all
(-12.62%)
* 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.