Photos | Ring Ceremony at Caesars Palace
Hiroyuki Kaiō, Jang Hang-seon, Adrien Guyon, Nathan Fillion, Oliver Hardy, and Van Johnson gather for a stylish ring ceremony in the urban landscape of Caesars Palace. The stunning lighting sets the perfect ambiance for the formal event.
BLIP-2 Description:
a group of people standing around a ringMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
pc urban rekognition_c lamp bracelet guyon glasses outdoor graduation camera footwear ceremony bag night life formal leisure sumo oliver no theater activities hardy dancing chair sports jewelry hardware device hiroyuki building stage lighting glove shoe electronics handbag adrien coat logic microphone sword indoors nathan fillion screen suit speaker van johnson hat weapon speech venue wear furniture audience accessories kaiō laptop monitor computer electrical jang hang-seon crowd
iso
250
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
(32.35%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.88%)
harmonious color
(2.01%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-4.91%)
intrusive object presence
(-17.60%)
lively color
(-5.99%)
low light
(35.60%)
noise
(-4.64%)
pleasant camera tilt
(-10.44%)
pleasant composition
(-58.89%)
pleasant lighting
(-46.44%)
pleasant pattern
(6.79%)
pleasant perspective
(3.46%)
pleasant post processing
(4.28%)
pleasant reflection
(-3.64%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.17%)
tastefully blurred
(-26.27%)
well chosen subject
(-22.23%)
well framed subject
(-25.90%)
well timed shot
(0.24%)
all
(-5.70%)
* 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.