Photos | Urban Wrestling Match at Caesars Palace
Spectators pack into the interior room of Caesars Palace to watch Sahin Eryilmaz, Adrien Guyon, and Hayateumi Hidehito battle it out in a high-stakes wrestling match. The dramatic lighting and energetic crowd create an unforgettable atmosphere for this unforgettable event. #sport #crowd #urbanlife
BLIP-2 Description:
a crowd of people watching a wrestling matchMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
urban recreation sahin eryilmaz night guyon glasses modern outdoor footwear sumo interior theater game chair city sports bench hardware concert building stage lighting casino electronics shoe contact adrien hayateumi hidehito logic sword room peoplewho indoors screen empowering er architecture speaker life hat sport speech weapon venue audience furniture peth accessories basketball monitor towering computer crowd business
iso
160
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
36.12
longitude
-115.17
shutter speed
1/60s
camera make
Apple
camera model
overall
(36.35%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.85%)
harmonious color
(1.86%)
immersiveness
(0.68%)
interaction
(1.00%)
interesting subject
(-0.86%)
intrusive object presence
(-18.46%)
lively color
(11.98%)
low light
(32.42%)
noise
(-4.81%)
pleasant camera tilt
(-6.96%)
pleasant composition
(-63.87%)
pleasant lighting
(-34.18%)
pleasant pattern
(11.30%)
pleasant perspective
(2.86%)
pleasant post processing
(1.23%)
pleasant reflection
(0.24%)
pleasant symmetry
(1.54%)
sharply focused subject
(0.42%)
tastefully blurred
(-7.76%)
well chosen subject
(-13.83%)
well framed subject
(-39.53%)
well timed shot
(15.82%)
all
(-1.79%)
* 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.