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:
architecture edward ping pong jeans paddle pants necklace jasmine anteunis robert classroom building frame footwear lamp wristwatch hat furniture dave b shoe groupshot pong jeffrey art desk glasses indoors ball school oak sign jewelry sport table accessories room eight norton recreation neal f downtown ping royal crowd racket pool
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.