Photos | Wrestling Match Draws a Packed Crowd at Caesars Palace

Hokutoumi Nobuyoshi and Buddy Murphy engage in a fierce match as a boisterous audience of 51 and Urban-inspired lighting fill the auditorium at Caesars Palace in Las Vegas.
BLIP-2 Description:
a crowd of people watching a wrestling matchMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture speech boy buddy urban building chair child footwear speaker stage er lamp hat basketball furniture outdoor empowering murphy shoe bag city glove venue fun club hall business indoors audience life logic interior electronics theater los sport auditorium accessories modern room night handbag whor debate sports lighting game concert sumo owering crowd hokutoumi nobuyoshi
iso
200
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
date
2019-12-04T21:09:54.618000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(32.96%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.53%)
failure
(-1.32%)
harmonious color
(0.98%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-9.11%)
intrusive object presence
(-24.17%)
lively color
(6.90%)
low light
(48.07%)
noise
(-9.18%)
pleasant camera tilt
(-9.12%)
pleasant composition
(-69.68%)
pleasant lighting
(-39.67%)
pleasant pattern
(12.16%)
pleasant perspective
(2.12%)
pleasant post processing
(1.32%)
pleasant reflection
(-1.72%)
pleasant symmetry
(1.37%)
sharply focused subject
(0.39%)
tastefully blurred
(-15.06%)
well chosen subject
(-0.14%)
well framed subject
(-38.89%)
well timed shot
(10.93%)
all
(-3.44%)
* 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.