Photos | Wrestling Legends Take Vegas by Storm
Iwakiyama Ryūta and Hokutoumi Nobuyoshi compete on the wrestling ring in front of an excited crowd at Caesars Palace.
BLIP-2 Description:
two men are standing on a wrestling ring in front of a crowdChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
speech activities urban leisure building nobuyoshi speaker footwear hokutoumi stage er arts basketball outdoor empowering contact shoe bag wrestling iwakiyama ryūta venue hardware judo pekhopower business indoors audience martial logic electronics theater screen sport accessories modern peoplewho monitor recreation handbag sports lighting busile game computer sumo crowd dancing
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
2019-12-04T22:25:36.783000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(32.03%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.61%)
harmonious color
(0.35%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-3.54%)
intrusive object presence
(-10.03%)
lively color
(-9.47%)
low light
(83.11%)
noise
(-4.54%)
pleasant camera tilt
(-7.92%)
pleasant composition
(-68.65%)
pleasant lighting
(-42.58%)
pleasant pattern
(6.13%)
pleasant perspective
(2.30%)
pleasant post processing
(0.23%)
pleasant reflection
(2.03%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.27%)
tastefully blurred
(-20.29%)
well chosen subject
(-23.69%)
well framed subject
(-23.44%)
well timed shot
(5.47%)
all
(-5.97%)
* 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.