Photos | Heartwarming Hug at the Wrestling Match
Setsuo Akinoumi and Daiju Hisateru embrace each other in front of an excited crowd at Caesars Palace in Las Vegas.
BLIP-2 Description:
two men hug in front of a crowd at a wrestling matchChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture activities arn anderson robert urban leisure building poliopower chair footwear speaker mobile er outdoors daiju hisateru furniture outdoor empowering contact shoe bag venue hardware business glasses audience busi logic electronics screen sport accessories modern monitor recreation handbag hugging sports lighting sammy davis, sr. phone cummings setsuo akinoumi concert computer sumo crowd dancing shelter
Detected Text
iso
250
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
2019-12-04T21:09:32.934000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(32.23%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.59%)
failure
(-0.71%)
harmonious color
(-1.83%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-4.25%)
intrusive object presence
(-14.62%)
lively color
(-2.81%)
low light
(64.50%)
noise
(-7.10%)
pleasant camera tilt
(-5.74%)
pleasant composition
(-64.60%)
pleasant lighting
(-35.67%)
pleasant pattern
(11.99%)
pleasant perspective
(-1.44%)
pleasant post processing
(1.43%)
pleasant reflection
(2.45%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.24%)
tastefully blurred
(-17.27%)
well chosen subject
(-36.82%)
well framed subject
(-22.73%)
well timed shot
(6.24%)
all
(-5.26%)
* 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.