Photos | Dining Room at Kyoto City Hall
A grand and spacious dining room in Kyoto City Hall, adorned with elegant chandeliers and lamps, and filled with luxurious furniture including many tables and chairs.
BLIP-2 Description:
a large room with many tables and chairsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
Location:
prayer hotel cafeteria interior table lamp cafe kyoto altar restaurant reception japan publication lighting dining church kyoto_temples chair chandelier tool design device building furniture architecture resort trip nakagyo pub temples axe kamihonnojimaecho living weapon window festival waiting room art club dining room room indoors book
flash fired
true
iso
400
metering mode
5
aperture
f/2.9
focal length
6mm
shutter speed
1/30s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
date
2003-01-07T23:42:23-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(18.12%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.40%)
failure
(-1.32%)
harmonious color
(-1.82%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-57.81%)
intrusive object presence
(-10.89%)
lively color
(-13.10%)
low light
(71.34%)
noise
(-25.29%)
pleasant camera tilt
(-11.65%)
pleasant composition
(-70.56%)
pleasant lighting
(-61.38%)
pleasant pattern
(12.89%)
pleasant perspective
(-7.04%)
pleasant post processing
(-2.85%)
pleasant reflection
(-4.67%)
pleasant symmetry
(1.17%)
sharply focused subject
(0.12%)
tastefully blurred
(-4.18%)
well chosen subject
(-7.40%)
well framed subject
(-39.01%)
well timed shot
(1.09%)
all
(-10.24%)
* 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.