Photos | Urban Crowd at Caesars Palace
Katayama Shinji, Adrien Guyon, Hayateumi Hidehito, and John Joseph Haldane speak to a packed audience at Caesars Palace in Las Vegas during the 2019 Urban Conference.
BLIP-2 Description:
a crowd of people standing on a stage in front of a large screenChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Location:
architecture speech activities katayama urban leisure building shinji speaker footwear stage er john joseph haldane basketball adrien guyon outdoor empowering hayateumi contact hidehito shoe glove venue business audience life logic rekognition_c electronics sport modern high night peyhopower recreation heel sports lighting game concert sumo owering crowd dancing
iso
160
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
2019-12-04T21:09:40.980000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(34.20%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.43%)
failure
(-0.56%)
harmonious color
(-0.21%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-3.12%)
intrusive object presence
(-16.72%)
lively color
(-5.07%)
low light
(38.53%)
noise
(-3.69%)
pleasant camera tilt
(-7.40%)
pleasant composition
(-76.71%)
pleasant lighting
(-43.99%)
pleasant pattern
(7.10%)
pleasant perspective
(5.66%)
pleasant post processing
(0.71%)
pleasant reflection
(0.70%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.12%)
tastefully blurred
(-14.14%)
well chosen subject
(-10.41%)
well framed subject
(-45.78%)
well timed shot
(17.59%)
all
(-4.54%)
* 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.