Photos | The Thrill of the Rings
A massive crowd gathers around the ring to witness the intense competition between Hiroyuki Kaiō, Daiju Hisateru, Li Rongxiang, Randolph Scott, Kevin Brennan, and Masateru Kaiketsu at Caesars Palace in Las Vegas.
BLIP-2 Description:
a large crowd of people standing around a ringChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
speech po ho urban kevin brennan building chair speaker footwear power stage er daiju hisateru basketball masateru field furniture outdoor empowering volleyball busie shoe curling scott kaiketsu wrestling hiroyuki kaiō venue business audience randolph logic electronics moder li rongxiang sport modern sports lighting game sumo crowd
iso
125
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
36.12
longitude
-115.17
shutter speed
1/60s
camera make
Apple
camera model
date
2019-12-04T21:09:17.665000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(35.06%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.46%)
failure
(-0.68%)
harmonious color
(1.94%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-10.55%)
intrusive object presence
(-21.17%)
lively color
(1.38%)
low light
(54.20%)
noise
(-7.74%)
pleasant camera tilt
(-8.79%)
pleasant composition
(-73.24%)
pleasant lighting
(-41.04%)
pleasant pattern
(10.72%)
pleasant perspective
(1.83%)
pleasant post processing
(1.53%)
pleasant reflection
(-2.71%)
pleasant symmetry
(1.68%)
sharply focused subject
(0.32%)
tastefully blurred
(-2.22%)
well chosen subject
(-4.22%)
well framed subject
(-36.25%)
well timed shot
(7.70%)
all
(-4.37%)
* 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.