Photos | Sumo Showdown at Caesars Palace

Hayateumi Hidehito and Enrique Sarasola face off in a thrilling match at the Caesars Palace ring, as the crowd cheers on in excitement. #sumo #wrestling #sport #recreation
BLIP-2 Description:
two sumo wrestlers on a wrestling ringMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
december bracelet nv south county footwear desert bi see travel stage las vegas states caesars palace dr performance shoe sandal wrestling iphone caesars palace vegas paradise glove sarasola hardware gymnastics glasses belt winter united electronics max palms jewelry screen sport accessories monitor clark las trip recreation strip pro enrique mojave hayateumi hidehito southeast las vegas entertainment concert computer rhythmic sumo crowd apple lo
iso
80
metering mode
5
aperture
f/2
focal length
6mm
latitude
36.12
longitude
-115.17
shutter speed
1/60s
camera make
Apple
camera model
lens model
date
2019-12-04T22:08:29.812000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(38.67%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.66%)
harmonious color
(5.17%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(16.86%)
intrusive object presence
(-13.99%)
lively color
(-14.26%)
low light
(70.12%)
noise
(-2.47%)
pleasant camera tilt
(-4.56%)
pleasant composition
(-36.62%)
pleasant lighting
(-42.46%)
pleasant pattern
(2.49%)
pleasant perspective
(13.60%)
pleasant post processing
(3.25%)
pleasant reflection
(-2.76%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.24%)
tastefully blurred
(-33.84%)
well chosen subject
(-25.44%)
well framed subject
(19.25%)
well timed shot
(38.18%)
all
(0.32%)
* 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.