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:
cutlery architecture xxiii cafeteria spoon necklace available john grab building meal pub food buffet way hat wristwatch secure dinner restaurant furniture one flooring court art knife still_secure linen glasses menu full indoors still dining rekognition_c jewelry table room accessories blade couch cafe home plate decor cup floor painting weapon
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.