Photos | Sumo Wrestling at the World Tournament

Kotozakura Masakatsu and Buyūzan Takeyoshi compete in front of a lively crowd at the Caesars Palace in Las Vegas during the 2019 World Sumo Tournament, while Kanako Otsuji watches on. #sumo #sport #recreation #crowd #clothing #footwear
BLIP-2 Description:
sumo wrestling at the world sumo tournamentMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
activities urban leisure building speaker footwear takeyoshi stage transportation basketball kanako otsuji outdoor empowering contact shoe wrestling glove venue polhopower business glasses kotozakura masakatsu audience logic electronics vehicle sport buyūzan accessories modern recreation busine sports game sumo crowd dancing motorcycle
Detected Text
iso
125
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
2019-12-04T21:13:15.917000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(28.00%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.44%)
failure
(-0.63%)
harmonious color
(1.32%)
immersiveness
(0.10%)
interaction
(2.00%)
interesting subject
(-28.15%)
intrusive object presence
(-27.56%)
lively color
(-4.82%)
low light
(67.82%)
noise
(-5.81%)
pleasant camera tilt
(-8.16%)
pleasant composition
(-85.69%)
pleasant lighting
(-36.45%)
pleasant pattern
(7.91%)
pleasant perspective
(0.11%)
pleasant post processing
(1.07%)
pleasant reflection
(-0.58%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.22%)
tastefully blurred
(-19.18%)
well chosen subject
(-25.29%)
well framed subject
(-53.47%)
well timed shot
(13.78%)
all
(-6.31%)
* 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.