Photos | A Feast Fit for Kyoto Royalty
This dining table at Brees House in Kyoto City Hall is adorned with various bottles of alcohol and dishes to create the perfect meal. The tablecloth and cutlery add to the presentation, while the brush and other tools hint at additional use beyond dining.
BLIP-2 Description:
a table with a bottle of wine, a bottle of vodka, a bottle of rum, aChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
cutlery architecture dining table tool nakagyo beer herbal spoon plant building meal food cosmetics beverage brush dish furniture perfume sake house coffee container pottery brees_house japan brees alcohol altar prayer indoors herbs dining kamihonnojimaecho church table room trip device cup tablecloth bottle
flash fired
true
iso
100
metering mode
5
aperture
f/2.9
focal length
6mm
shutter speed
1/30s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
date
2003-01-03T23:10:26-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(40.97%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.37%)
failure
(-0.12%)
harmonious color
(-0.05%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-24.11%)
intrusive object presence
(-8.59%)
lively color
(1.74%)
low light
(42.24%)
noise
(-1.76%)
pleasant camera tilt
(-2.42%)
pleasant composition
(-41.02%)
pleasant lighting
(-19.02%)
pleasant pattern
(8.06%)
pleasant perspective
(19.14%)
pleasant post processing
(2.18%)
pleasant reflection
(4.33%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.88%)
tastefully blurred
(4.68%)
well chosen subject
(-15.06%)
well framed subject
(31.23%)
well timed shot
(9.56%)
all
(1.66%)
* 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.