Photos | Ping Pong Pals
Jasmine Anteunis, Edward Norton, Jeffrey W and Dave B strike a pose in front of a ping pong table during a fun-filled recreation session in Royal Oak, Michigan. #PingPong #Sport #People
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:
norton pool frame room ping furniture desk groupshot recreation jeans dave b lamp ping pong jasmine anteunis neal f edward racket wristwatch downtown indoors accessories sign jewelry paddle sport pants glasses footwear building architecture crowd classroom table jeffrey ball eight school pong hat art oak robert necklace royal shoe
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
2014-01-29T10:23:15.590000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.30%)
curation
(93.24%)
highlight visibility
(7.66%)
behavioral
(70.64%)
failure
(-0.27%)
harmonious color
(-2.85%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(43.19%)
intrusive object presence
(-19.58%)
lively color
(-11.14%)
low light
(9.08%)
noise
(-3.39%)
pleasant camera tilt
(-8.40%)
pleasant composition
(-38.28%)
pleasant lighting
(-50.39%)
pleasant pattern
(4.61%)
pleasant perspective
(12.46%)
pleasant post processing
(1.33%)
pleasant reflection
(0.45%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.22%)
tastefully blurred
(-15.30%)
well chosen subject
(-18.33%)
well framed subject
(23.13%)
well timed shot
(12.54%)
all
(-3.05%)
* 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.