Photos | Wrestling Match at Caesars Palace
A bustling crowd of people watches a wrestling match in the interior room of Caesars Palace, as Hirokazu Hamamura takes on his opponent. The fantastic lighting and energetic spectators make the match thrilling.
BLIP-2 Description:
a crowd of people watching a wrestling match in a large arenaChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
activities urban leisure building footwear stage basketball outdoor contact shoe city hirokazu hamamura wrestling glove venue hardware club glasses audience logic interior electronics screen sport accessories auditorium monitor room dancing recreation sports lighting game tv concert computer sumo crowd logi
iso
200
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
36.12
longitude
-115.17
shutter speed
1/41s
camera make
Apple
camera model
date
2019-12-04T22:44:11.421000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(28.20%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-1.68%)
harmonious color
(1.26%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-44.36%)
intrusive object presence
(-15.16%)
lively color
(-10.11%)
low light
(96.53%)
noise
(-8.15%)
pleasant camera tilt
(-7.93%)
pleasant composition
(-76.71%)
pleasant lighting
(-53.86%)
pleasant pattern
(8.54%)
pleasant perspective
(-0.78%)
pleasant post processing
(2.62%)
pleasant reflection
(-0.51%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.27%)
tastefully blurred
(-19.63%)
well chosen subject
(-3.73%)
well framed subject
(-51.90%)
well timed shot
(3.83%)
all
(-7.40%)
* 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.