Photos | Wrestling show at Caesars Palace
Hokutoumi Nobuyoshi and another man grapple in front of a cheering crowd at Caesars Palace, part of the 2019 sports and entertainment lineup.
BLIP-2 Description:
two men are wrestling on a 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
Dominant Color:
Location:
lighting urban dress contact activities glove dancing baby recreation part continuous back rhythmic bag accessories diffe performer ice see outdoor sport business building footwear crowd skating sports sumo ntelligence mobile phone cup hokutoumi nobuyoshi venue handbag rink logic stage leisure gymnastics intelligence electronics shoe
Detected Text
iso
64
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
36.12
longitude
-115.17
shutter speed
1/61s
camera make
Apple
camera model
date
2019-12-04T22:44:24.479000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(34.03%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.78%)
harmonious color
(2.85%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(6.32%)
intrusive object presence
(-14.06%)
lively color
(-6.00%)
low light
(95.31%)
noise
(-5.10%)
pleasant camera tilt
(-4.78%)
pleasant composition
(-47.56%)
pleasant lighting
(-29.42%)
pleasant pattern
(5.49%)
pleasant perspective
(9.66%)
pleasant post processing
(-2.64%)
pleasant reflection
(1.65%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.51%)
tastefully blurred
(-19.29%)
well chosen subject
(-36.74%)
well framed subject
(9.58%)
well timed shot
(10.28%)
all
(-2.57%)
* 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.