Photos | Sumo Showdown at Caesars Palace
Daiju Hisateru and Kazuko Sawamatsu face off in a thrilling sumo wrestling match at the grand casino in Las Vegas, witnessed by a lively crowd including Karl Hermann Frank.
BLIP-2 Description:
sumo wrestling at the grand casinoChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
hisateru trip sumo furniture apple max concert vegas night pro theater paradise palms entertainment dr back shoe performance south las vegas rekognition_c life las travel bag hermann audience united states nv crowd glasses mojave desert strip electronics footwear karl urban accessories county part southeast las vegas sport phone mobile frank bench handbag cup lamp iphone palace recreation winter caesars wrestling indoors daiju december clark paradise kazuko sawamatsu
iso
640
metering mode
5
aperture
f/2
focal length
6mm
latitude
36.12
longitude
-115.17
shutter speed
1/32s
camera make
Apple
camera model
lens model
overall
(28.22%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.51%)
harmonious color
(-0.85%)
immersiveness
(0.37%)
interaction
(2.00%)
interesting subject
(-34.72%)
intrusive object presence
(-13.38%)
lively color
(6.36%)
low light
(3.93%)
noise
(-6.10%)
pleasant camera tilt
(-10.78%)
pleasant composition
(-76.42%)
pleasant lighting
(-21.72%)
pleasant pattern
(9.86%)
pleasant perspective
(-15.34%)
pleasant post processing
(-3.29%)
pleasant reflection
(0.86%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.24%)
tastefully blurred
(-5.01%)
well chosen subject
(-25.59%)
well framed subject
(-51.90%)
well timed shot
(-1.40%)
all
(-6.48%)
* 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.