Photos | Showdown at Caesars Palace
Hayateumi Hidehito and Carlos Dominguez III battle it out in a high-stakes wrestling match, with Tim Chen and Juan González Mesa among the cheering crowd at Caesars Palace in Las Vegas. The shoving intensifies as the formal wear-clad competitors vie for victory in front of an audience of accessories-wearing fans.
BLIP-2 Description:
two men wrestling in a ring with a crowd watchingMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
pc slamming recreation phone glasses outdoor dominguez mobile tie formal footwear mesa bag tim chen sumo shoving chair wrestling sports hardware iii building electronics shoe handbag contact hayateumi hidehito juan ogic screen carlos speaker hat sport gonzález venue wear furniture signo accessories monitor laptop computer crowd
iso
80
metering mode
5
aperture
f/2
focal length
6mm
latitude
36.12
longitude
-115.17
shutter speed
1/60s
camera make
Apple
camera model
lens model
overall
(39.14%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.37%)
harmonious color
(2.47%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(27.00%)
intrusive object presence
(-18.73%)
lively color
(-1.08%)
low light
(52.88%)
noise
(-2.83%)
pleasant camera tilt
(-5.42%)
pleasant composition
(-47.44%)
pleasant lighting
(-36.35%)
pleasant pattern
(6.64%)
pleasant perspective
(11.70%)
pleasant post processing
(5.00%)
pleasant reflection
(2.46%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.39%)
tastefully blurred
(-9.63%)
well chosen subject
(-39.55%)
well framed subject
(16.89%)
well timed shot
(21.72%)
all
(-0.82%)
* 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.