Photos | Ping Pong Posers
Jasmine Anteunis, Edward Norton, Dave B, and Jeffrey W strike a pose in Royal Oak, Michigan while enjoying some friendly competition on the ping pong table.
BLIP-2 Description:
a group of people posing for a photo in front of a ping pong tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5184w x 3456h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet ping pong jeans boy pants necklace robert paddle classroom building frame footwear lamp wristwatch hat furniture dave b cause shoe groupshot pong jeffrey art hardware desk shirt glasses indoors teen school jasmine rekognition_c electronics sign oak jewelry screen sport cancer anteunis table accessories room monitor edward norton recreation neal f downtown ping go royal computer crowd racket
iso
1600
metering mode
5
aperture
f/2
exposure bias
-0.67
focal length
22mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2014-01-29T10:23:12.570000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(36.28%)
curation
(93.53%)
highlight visibility
(7.68%)
behavioral
(70.65%)
failure
(-0.22%)
harmonious color
(-2.57%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(44.97%)
intrusive object presence
(-18.07%)
lively color
(-9.27%)
low light
(9.45%)
noise
(-2.39%)
pleasant camera tilt
(-8.25%)
pleasant composition
(-40.41%)
pleasant lighting
(-48.12%)
pleasant pattern
(5.42%)
pleasant perspective
(12.24%)
pleasant post processing
(2.96%)
pleasant reflection
(1.36%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.24%)
tastefully blurred
(-15.55%)
well chosen subject
(-24.46%)
well framed subject
(25.54%)
well timed shot
(12.77%)
all
(-2.81%)
* 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.