Photos | Casino Crowd Gathers for Speech
Gerald Okamura and Van Johnson address a packed audience at Caesars Palace in Las Vegas, as 54 people stand on stage in front of a large screen. The urban backdrop and the stylish suits and footwear complete the elegant mood, while the impressive lighting setup creates a dramatic ambiance for the memorable occasion.
BLIP-2 Description:
a crowd of people standing on a stage in front of a large screenMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
urban recreation lamp van modern outdoor footwear bag logi gerald okamura sumo interior game chair sports busil hardware building stage lighting johnson casino pethopower shoe handbag electronics contact logic debate field room ple screen empowering er suit architecture speaker sport speech venue audience furniture accessories basketball monitor computer crowd business
iso
125
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
overall
(29.88%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.76%)
harmonious color
(1.15%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-27.51%)
intrusive object presence
(-42.77%)
lively color
(4.08%)
low light
(24.73%)
noise
(-4.71%)
pleasant camera tilt
(-9.30%)
pleasant composition
(-82.52%)
pleasant lighting
(-41.89%)
pleasant pattern
(9.28%)
pleasant perspective
(-1.09%)
pleasant post processing
(-0.75%)
pleasant reflection
(-1.42%)
pleasant symmetry
(1.10%)
sharply focused subject
(0.20%)
tastefully blurred
(-9.59%)
well chosen subject
(2.53%)
well framed subject
(-49.61%)
well timed shot
(7.47%)
all
(-5.64%)
* 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.