Photos | A Pizza Dinner with John XXIII at a Cozy Restaurant
John XXIII enjoys a delicious pizza with his seven male friends in a warm and welcoming restaurant on August 9th, 2008.
BLIP-2 Description:
a group of people sitting around a table eating pizzaChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
spoon fork buffet document frame one room wheel machine gour furniture couch decor menn still dining weapon dining room home linen court way john xxiii indoors accessories pizza arailable lunch knife brunch dish secure plate glasses building cafeteria architecture food utensil interior blade table dinner mobile fall cutlery still_secure restaurant cup meal phone gral supper hat art electronics tableware wood
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2008-08-09T21:27:12-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.48%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.20%)
harmonious color
(3.25%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(12.95%)
intrusive object presence
(-10.38%)
lively color
(-39.09%)
low light
(33.25%)
noise
(-1.88%)
pleasant camera tilt
(-6.35%)
pleasant composition
(-67.24%)
pleasant lighting
(-43.07%)
pleasant pattern
(8.13%)
pleasant perspective
(18.95%)
pleasant post processing
(3.34%)
pleasant reflection
(-1.23%)
pleasant symmetry
(1.39%)
sharply focused subject
(0.39%)
tastefully blurred
(-9.55%)
well chosen subject
(-7.82%)
well framed subject
(-9.99%)
well timed shot
(6.77%)
all
(-4.03%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.