Photos | Fight for the Exciting Sumo Wrestling at World Tournament
Daiju Hisateru, Doris Matsui, Qin Haiyang, Buyūzan Takeyoshi, and Adrien Guyon engage in a heated sumo wrestling match at the World Tournament, held at Caesars Palace in Las Vegas. The crowd cheers as the wrestlers don their traditional clothing and accessories, showcasing their skill, strength, and determination in this exciting sport.
BLIP-2 Description:
sumo wrestling at the world sumo tournamentMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
accessories shoving shoe formal guyon sports monitor electronics uniform wear adrien wrestling logic buyūzan takeyoshi crowd contact sport furniture pc hat hardware chair rhythmic recreation qin glove sumo screen computer no footwear tie rekognition_c hisateru speaker gymnastics daiju doris matsui haiyang laptop glasses
iso
125
metering mode
5
aperture
f/2
focal length
6mm
latitude
36.12
longitude
-115.17
shutter speed
1/80s
camera make
Apple
camera model
lens model
overall
(41.50%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.44%)
harmonious color
(1.05%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(25.76%)
intrusive object presence
(-13.75%)
lively color
(-5.49%)
low light
(50.98%)
noise
(-3.71%)
pleasant camera tilt
(-4.27%)
pleasant composition
(-51.61%)
pleasant lighting
(-39.55%)
pleasant pattern
(6.05%)
pleasant perspective
(13.07%)
pleasant post processing
(3.52%)
pleasant reflection
(0.03%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.39%)
tastefully blurred
(-10.09%)
well chosen subject
(-22.60%)
well framed subject
(6.33%)
well timed shot
(25.54%)
all
(-0.77%)
* 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 with AI (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.