Photos | A Night Out at the Cafeteria
John XXIII and a group of 25 others enjoy a meal and each other's company at a bustling food court. The colorful paintings on the wall and the spread of cutlery on the table make for a lively atmosphere.
BLIP-2 Description:
a group of people sitting around a table with foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
spoon buffet one room couch xxiii furniture decor floor still dining weapon home cafe linen available court way wristwatch indoors accessories knife jewelry pub secure plate glasses building cafeteria full architecture grab food john blade table dinner painting cutlery cup still_secure restaurant meal flooring rekognition_c hat art menu necklace
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2008-08-09T21:46:26-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.47%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.32%)
harmonious color
(-3.29%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-8.25%)
intrusive object presence
(-5.25%)
lively color
(-42.31%)
low light
(95.80%)
noise
(-2.42%)
pleasant camera tilt
(-6.98%)
pleasant composition
(-63.43%)
pleasant lighting
(-66.60%)
pleasant pattern
(5.47%)
pleasant perspective
(-2.36%)
pleasant post processing
(-4.70%)
pleasant reflection
(-0.60%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.20%)
tastefully blurred
(-12.22%)
well chosen subject
(-2.01%)
well framed subject
(-22.57%)
well timed shot
(8.54%)
all
(-9.43%)
* 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.