Photos | The Dining Room in Kyoto City Hall
A beautifully arranged dining room in Kyoto City Hall featuring a stunning floral arrangement, antique furniture, and intricate patterns on the tablecloth.
BLIP-2 Description:
a table with chairs and a vase on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
Location:
temples ikebana frame room furniture nakagyo chandelier horse container graphics kamihonnojimaecho potted dining tabletop dining room kyoto_temples lamp plant mammal indoors animal chair arrangement building bouquet floral architecture japan rose houseplant trip interior table painting tablecloth pattern coffee design flower art vase living room kyoto wood
flash fired
true
iso
119
metering mode
5
aperture
f/2.9
focal length
6mm
shutter speed
1/30s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
date
2003-01-07T23:41:57-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(29.54%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.42%)
failure
(-0.85%)
harmonious color
(2.04%)
immersiveness
(0.88%)
interaction
(1.00%)
interesting subject
(-32.37%)
intrusive object presence
(-4.10%)
lively color
(-3.07%)
low light
(59.28%)
noise
(-21.12%)
pleasant camera tilt
(-9.86%)
pleasant composition
(-33.96%)
pleasant lighting
(-34.94%)
pleasant pattern
(16.97%)
pleasant perspective
(4.68%)
pleasant post processing
(-0.70%)
pleasant reflection
(1.10%)
pleasant symmetry
(1.15%)
sharply focused subject
(0.44%)
tastefully blurred
(-10.11%)
well chosen subject
(-21.95%)
well framed subject
(7.28%)
well timed shot
(8.46%)
all
(-1.84%)
* 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.