Photos | Wrestling Match at Caesars Palace

Kotozakura Masakatsu and Tamanoumi Masahiro battle it out in front of a captivated crowd at Caesars Palace in Las Vegas.
BLIP-2 Description:
a crowd watches as two men wrestle in a ringMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
beryl tie activities formal urban leisure building chair speaker footwear hokutoumi nobuyoshi arts basketball solo furniture outdoor empowering tamanoumi masahiro performance busie shoe bag glove venue hardware judo desk business audience martial logic interior wear electronics cook performer screen sport table auditorium accessories modern monitor room nodern handbag sports lighting game computer sumo crowd dancing kotozakura masakatsu pothopower
Detected Text
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
date
2019-12-04T21:09:31.264000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(29.79%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.61%)
failure
(-0.90%)
harmonious color
(-1.77%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-23.02%)
intrusive object presence
(-9.20%)
lively color
(6.98%)
low light
(43.60%)
noise
(-6.64%)
pleasant camera tilt
(-7.29%)
pleasant composition
(-65.97%)
pleasant lighting
(-40.60%)
pleasant pattern
(17.24%)
pleasant perspective
(-4.04%)
pleasant post processing
(0.77%)
pleasant reflection
(-2.49%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.39%)
tastefully blurred
(-14.89%)
well chosen subject
(-32.35%)
well framed subject
(-39.48%)
well timed shot
(-2.13%)
all
(-6.45%)
* 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.