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:
caesars palace dr december bi paradise see recreation winter united bracelet south glasses entertainment gymnastics trip footwear strip sarasola sumo sandal mojave states vegas wrestling jewelry lo hardware concert las stage iphone glove shoe electronics palms palace clark hayateumi hidehito max rhythmic las vegas desert county enrique screen pro belt performance sport caesars southeast las vegas travel accessories nv monitor computer apple crowd
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
overall
(38.67%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
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.