Photos | Wrestling Match at Caesars Palace
![Wrestling Match at Caesars Palace](https://eecue.com/img/640/73ea5c21b2.jpg)
People gather to watch Arvind Kumar Sharma, Hayateumi Hidehito, Toyonoshima Daiki and other wrestlers in action at Caesars Palace in Las Vegas. The lighting sets the scene for an urban and electrifying atmosphere.
BLIP-2 Description:
a crowd of people are watching a wrestling matchMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
urban see minz arvind kumar sharma toyonoshima daiki different footwear bag sumo tv theater hayateumi game chan jack teagarden chair city hardware concert building stage lighting hidehito lilima less shoe handbag electronics julian b. king joel logic debate intelligence nuous screen architecture diffe sport speech audience furniture accessories basketball monitor indoors computer crowd business
iso
320
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
(23.27%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.63%)
harmonious color
(-1.19%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-43.55%)
intrusive object presence
(-15.48%)
lively color
(0.05%)
low light
(47.46%)
noise
(-4.03%)
pleasant camera tilt
(-8.94%)
pleasant composition
(-81.54%)
pleasant lighting
(-49.22%)
pleasant pattern
(8.72%)
pleasant perspective
(5.29%)
pleasant post processing
(-5.17%)
pleasant reflection
(-1.42%)
pleasant symmetry
(1.22%)
sharply focused subject
(0.22%)
tastefully blurred
(-13.32%)
well chosen subject
(1.02%)
well framed subject
(-54.10%)
well timed shot
(6.87%)
all
(-7.14%)
* 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.