Photos | A Thriving Crowd in the Heart of the City
Christian Jung and Akihiro Gono blend in amongst the sea of people at an urban event in Las Vegas.
BLIP-2 Description:
a large crowd of people at an eventChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture december bistro supermarket mics nv urban building south county footwear desert travel las vegas redisl apple ml aw furniture states lounge migrate bag shoe iphone vegas paradise build grocery hardware negative cure indoors akihiro gono airport jung winter life united rekognition_c electronics christian max backpack palms screen accessories monitor clark las trip market handbag pro strip night mojave store redisla southeast las vegas computer shop crowd apple
iso
250
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
36.12
longitude
-115.17
shutter speed
1/60s
camera make
Apple
camera model
date
2019-12-02T17:27:50.493000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(28.34%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.50%)
failure
(-0.63%)
harmonious color
(-2.29%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-36.23%)
intrusive object presence
(-4.54%)
lively color
(-26.10%)
low light
(68.36%)
noise
(-5.25%)
pleasant camera tilt
(-13.71%)
pleasant composition
(-88.09%)
pleasant lighting
(-37.79%)
pleasant pattern
(7.08%)
pleasant perspective
(-2.40%)
pleasant post processing
(2.23%)
pleasant reflection
(-2.58%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.10%)
tastefully blurred
(-24.73%)
well chosen subject
(11.02%)
well framed subject
(-71.92%)
well timed shot
(9.58%)
all
(-7.29%)
* 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.