Photos | Sumo Wrestling Showdown
Mu Shuangshuang, Li mingyuan, Rob Ford, and Anne Francis compete in the world sumo tournament at Caesars Palace in Las Vegas. The crowd watches in awe as the athletes showcase their strength and technique.
BLIP-2 Description:
sumo wrestling at the world sumo tournamentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
lighting wrestling shelter heel city urban outdoors rob ford activities li glove dancing wear part francis child high back girl formal bag accessories photography mingyuan performance sport night footwear building architecture crowd anne audience swimwear portrait shorts suit sumo life handbag stage leisure hat art performing arts nature mu shuangshuang shoe
iso
40
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
36.12
longitude
-115.17
shutter speed
1/98s
camera make
Apple
camera model
date
2019-12-04T22:48:04.836000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(22.11%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-1.42%)
harmonious color
(1.92%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-29.88%)
intrusive object presence
(-31.64%)
lively color
(-7.20%)
low light
(84.86%)
noise
(-6.81%)
pleasant camera tilt
(-6.93%)
pleasant composition
(-77.00%)
pleasant lighting
(-59.52%)
pleasant pattern
(3.34%)
pleasant perspective
(-6.57%)
pleasant post processing
(-0.60%)
pleasant reflection
(1.32%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.12%)
tastefully blurred
(-15.01%)
well chosen subject
(-29.27%)
well framed subject
(-40.06%)
well timed shot
(-6.82%)
all
(-10.79%)
* 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.