Photos | Sumo Wrestling Event at Caesars Palace
Katayama Shinji, William Hung, and Setsuo Akinoumi gather around the ring to witness an intense sumo wrestling match at Caesars Palace in Las Vegas. The event drew a crowd of 29 enthusiastic spectators.
BLIP-2 Description:
a group of men standing around a ring in a large roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
stage floor activities william venue dancing table footwear setsuo akinoumi urban judo part leisure lighting martial recreation back glove audience sumo sport building furniture logic shorts arts desk handbag crowd katayama shinji hung wrestling screen electronics outdoor sports contact bag shoe accessories
iso
100
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
36.12
longitude
-115.17
shutter speed
1/120s
camera make
Apple
camera model
date
2019-12-04T22:46:10.977000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(26.81%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.50%)
failure
(-0.66%)
harmonious color
(2.33%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-25.63%)
intrusive object presence
(-9.40%)
lively color
(-11.21%)
low light
(81.98%)
noise
(-4.47%)
pleasant camera tilt
(-5.61%)
pleasant composition
(-53.71%)
pleasant lighting
(-45.41%)
pleasant pattern
(6.37%)
pleasant perspective
(6.45%)
pleasant post processing
(-8.03%)
pleasant reflection
(1.66%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.22%)
tastefully blurred
(-13.56%)
well chosen subject
(-20.07%)
well framed subject
(-24.65%)
well timed shot
(3.43%)
all
(-5.91%)
* 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.