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 casinoMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
urban december paradise rekognition_c united recreation winter lamp phone night south glasses entertainment trip mobile footwear strip bag sumo mojave theater states clark county vegas kazuko sawamatsu wrestling bench caesars palace las concert hisateru iphone karl electronics shoe handbag palms back palace max hermann las vegas desert frank pro cup performance life sport caesars part southeast las vegas audience travel accessories nv furniture indoors daiju apple crowd dr
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
(70.46%)
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 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.