Photos | Men in Black Kimonos at Caesars Palace
Adrien Guyon, Ellesmere Choi, and Dian Wei stand on a ring at Caesars Palace in Las Vegas, showcasing their black kimonos and traditional Japanese style in a theatrical performance.
BLIP-2 Description:
a group of men in black kimonos standing on a ringChronologically 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:
urban dress mo glasses arena outdoor graduation formal footwear bag sumo theater chair wrestling sports fashion lo hardware building adrien guyon stage lighting glove shoe electronics handbag coat sleeve choi sword dian wei screen ellesmere suit architecture speaker hat weapon sport speech long venue wear furniture overcoat audience accessories monitor indoors computer 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
(25.78%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.83%)
harmonious color
(0.76%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-29.44%)
intrusive object presence
(-38.65%)
lively color
(-4.62%)
low light
(14.40%)
noise
(-5.37%)
pleasant camera tilt
(-9.73%)
pleasant composition
(-75.24%)
pleasant lighting
(-59.33%)
pleasant pattern
(7.86%)
pleasant perspective
(1.43%)
pleasant post processing
(4.17%)
pleasant reflection
(-4.80%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.07%)
tastefully blurred
(-27.86%)
well chosen subject
(-26.49%)
well framed subject
(-35.69%)
well timed shot
(0.86%)
all
(-8.89%)
* 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.