Photos | Showdown at the World Sumo Tournament
Sumo wrestlers Hayateumi Hidehito and Hokutoumi Nobuyoshi face off at Caesars Palace in Las Vegas during the 2019 World Sumo Tournament, as thrilled spectators look on.
BLIP-2 Description:
sumo wrestling at the world sumo tournamentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
costume triumphant activities win urban leisure chair nobuyoshi footwear hokutoumi see stage continuó hat microphone furniture hayateumi contact hidehito shoe city swimwear telligence wrestling glove business glasses shorts audience logic sport accessories recreation differ arvind kumar sharma lighting hayateumi hidehito device part back happy sumo crowd jon ireland dancing electrical
iso
64
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
2019-12-04T22:46:50.683000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(42.07%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.54%)
failure
(-0.44%)
harmonious color
(1.72%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(44.19%)
intrusive object presence
(-12.33%)
lively color
(-16.96%)
low light
(49.63%)
noise
(-4.15%)
pleasant camera tilt
(-4.08%)
pleasant composition
(-39.31%)
pleasant lighting
(-27.32%)
pleasant pattern
(5.79%)
pleasant perspective
(8.70%)
pleasant post processing
(2.91%)
pleasant reflection
(0.40%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.44%)
tastefully blurred
(-21.70%)
well chosen subject
(-51.27%)
well framed subject
(8.52%)
well timed shot
(17.90%)
all
(-1.37%)
* 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.