Photos | Ring of Light

Hayateumi Hidehito and Prahlad Singh Patel gather with a crowd of 46 people at Caesars Palace in Las Vegas for an event featuring a ring, lights, and an audience.
BLIP-2 Description:
a group of people standing around a ringMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
lighting speaker clark county loy urban furniture activities glove laptop apple weapon dancing hardware travel screen prahlad singh patel lamp caesars palace paradise tv desert pc winter accessories graduation max nv southeast las vegas performance chair states december dr glasses iphone footwear palms crowd hidehito monitor strip caesars ош mojave las vegas concert speech audience trip hayateumi sumo mo sword pro computer las united vegas rekognition_c south leisure entertainment electronics palace shoe
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
date
2019-12-04T21:10:06.324000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(29.05%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.93%)
harmonious color
(1.11%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-30.00%)
intrusive object presence
(-28.25%)
lively color
(-8.76%)
low light
(55.76%)
noise
(-8.69%)
pleasant camera tilt
(-9.42%)
pleasant composition
(-66.21%)
pleasant lighting
(-57.91%)
pleasant pattern
(12.79%)
pleasant perspective
(-5.08%)
pleasant post processing
(2.73%)
pleasant reflection
(-3.75%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.20%)
tastefully blurred
(-9.23%)
well chosen subject
(-30.25%)
well framed subject
(-40.53%)
well timed shot
(-4.42%)
all
(-8.95%)
* 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.