Photos | A Night at the Sumo Ring
Yu Fengtong and his entourage watch as the wrestlers battle it out under the bright lights of Caesars Palace in Las Vegas.
BLIP-2 Description:
a group of men in suits standing around a ringChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
pants las vegas wrestling shelter stage audience caesars palace yu las iphone nv glasses vegas logic apple costume paradise outdoors part arena southeast las vegas shirt rekognition_c coat portrait sword tie suit wear sumo belt hat building architecture fengtong caesars winter states palace december concert crowd beard urban accessories max clark county photography back dr girl sport weapon desert strip travel footwear south entertainment trip palms performance mojave no child shoe night pro formal nature lighting city united
iso
80
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
36.12
longitude
-115.17
shutter speed
1/120s
camera make
Apple
camera model
overall
(26.64%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.59%)
harmonious color
(-0.73%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-14.70%)
intrusive object presence
(-26.07%)
lively color
(-11.88%)
low light
(32.45%)
noise
(-7.76%)
pleasant camera tilt
(-5.11%)
pleasant composition
(-63.92%)
pleasant lighting
(-46.31%)
pleasant pattern
(3.22%)
pleasant perspective
(0.84%)
pleasant post processing
(-0.71%)
pleasant reflection
(2.83%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.22%)
tastefully blurred
(-12.37%)
well chosen subject
(-36.62%)
well framed subject
(-21.15%)
well timed shot
(-0.40%)
all
(-7.85%)
* 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.