Photos | Sumo Wrestling on the Ship at Caesars Palace
Hokutoumi Nobuyoshi and Setsuo Akinoumi compete in front of a lively crowd during a unique ship-themed sumo wrestling event at Caesars Palace in Las Vegas. Among the spectators are Pushpasreevani Pamula, Li mingyuan, Deng Nan, Will McCormack, and Florence La Badie, all dressed in their finest footwear and clothing.
BLIP-2 Description:
sumo wrestling on the shipChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
urban setsuo akinoumi recreation glasses busite modern outdoor camera footwear pe sumo game mccormack chair wrestling hokutoumi nobuyoshi sports florence la badie li building stage electronics shoe contact le logic mingyuan empowering er speaker deng nan sport venue hopower audience furniture accessories basketball pushpasreevani pamula crowd business
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
overall
(29.76%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.51%)
harmonious color
(0.07%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-19.59%)
intrusive object presence
(-18.82%)
lively color
(-4.90%)
low light
(37.08%)
noise
(-4.15%)
pleasant camera tilt
(-9.22%)
pleasant composition
(-75.15%)
pleasant lighting
(-34.30%)
pleasant pattern
(6.67%)
pleasant perspective
(4.57%)
pleasant post processing
(1.67%)
pleasant reflection
(-1.78%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.27%)
tastefully blurred
(-15.70%)
well chosen subject
(-21.90%)
well framed subject
(-47.27%)
well timed shot
(6.23%)
all
(-5.57%)
* 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.